Data Analyst jobs at Hitachi Vantara - 81 jobs

Job Description - Senior Applications Consultant - Workday Data Consultant (054374) Senior Applications Consultant - Workday Data Consultant Qualifications & Experience: Certified in Workday HCM Experience in Workday data conversion At least one implementation as a data consultant Ability to work with clients on data conversion requirements and load data into Workday tenants Flexible to work across delivery landscape including Agile Applications Development, Support, and Deployment Valid US work authorization (no visa sponsorship required) 6‑8 years overall experience (minimum 2 years relevant), Bachelor's degree SE Level 1 certification; pursuing Level 2 Experience in package configuration, business analysis, architecture knowledge, technical solution design, vendor management Responsibilities: Translate business cases into detailed technical designs Manage operational and technical issues, translating blueprints into requirements and specifications Lead integration testing and user acceptance testing Act as stream lead guiding team members Participate as an active member within technology communities Capgemini is an Equal Opportunity Employer encouraging diversity and providing accommodations for disabilities. All qualified applicants will receive consideration without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law. Physical, mental, or environmental demands may be referenced. Reasonable accommodations will be considered where possible. #J-18808-Ljbffr

_corporate_fare_ Google _place_ San Jose, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree). **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). + Experience in an inter-disciplinary/cross-functional field with an interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. + Experience working autonomously, acting as a product owner to deliver results for global teams. + Ability to translate analysis results into business recommendations with excellent communication skills. **About the job** Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support and market understanding to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. As a part of the Android and Business Communication (ABC) Data Science (DS) team, you will contribute to powering ABC products decisions with Data Science and solve business problems using quantitative methods to influence organizational strategy. As a part of the ABC DS team's investigative leadership across three key product pillars: Consumer Messaging (Google Messages and Rich Communication Services (RCS), Messages business generation and Protection, and Calling including Telephony, you will help empower product teams to deliver high-quality, safe, and seamless communication experiences for billions of Android users. In this role, you will help serve Google Messages worldwide with the base of over 2 billion people. You will provide quantitative support, market understanding and a perspective to our partners throughout the organization. You will take the initiative as a data scientist, and apply your investigative and statistical toolkit to drive organizational and strategic decisions.Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Partner with stakeholders across multiple functions and locations to design and implement methodologies, dashboards and presentations. + Provide quantitative support and market understanding to our partners throughout the organization. + Serve as an analytics expert for partners, using numbers to help them make better decisions. + Weave stories with meaningful insight from data, making critical recommendations for your fellow Googlers in engineering and product management. + Use your investigative and statistical toolkit to tally up the numbers and communicate your findings to a team leader. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

**D** **a** **t** **a** **S** **c** **i** **e** **n** **t** **i** **s** **t** **(** **T** **a** **p** **e** **s** **t** **r** **y** **)** Software Engineering Mountain View, CA (HQ) **About the team:** Tapestry is an energy intelligence company incubated at X, the Moonshot Factory, the innovation lab within Alphabet. We are building the intelligence layer for the future electric grid. Our mission is to make the grid visible, predictable, and optimized through advanced AI systems so clean and reliable energy is available for everyone. The grid is one of the most important and complex systems in the world. It is under increasing pressure from electrification, renewable adoption, and climate-driven volatility. Tapestry creates the software and models that help utilities and grid operators understand what is happening, anticipate what is coming, and respond with confidence. Our team brings together experts in AI, energy systems, software engineering, and product design. We operate with the agility of a young company supported by the technical rigor and resources in Alphabet's ecosystem. If you want to work on problems that matter and build tools with real impact, we would love to meet you. **About the role** At Tapestry, data drives all our decision-making. Data Scientists work all across the organization to help shape our business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Tapestry and our partners to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As a Data Scientist, you do more than just crunch the numbers. **How you'll make 10x impact:** + Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets + Test and develop new techniques to pull forward critical insights and communicate them clearly to a diverse group of stakeholders + Work with large datasets and solve difficult analysis problems, applying advanced analytical methods. Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. + Build and prototype analysis pipelines iteratively to provide insights at scale. + Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. + Research and develop analyses and forecasting and optimization methods across search quality, end-user behavioral modeling, and live experiments. **What you should have:** + PhD or Master's in a quantitative field and 7+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist. Fluency in Python and SQL + Experience with electric power grid data, and physics based understanding of electrical networks and utility data Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. + Experience building compelling data visualization, design and implement quantitative evaluation processes and metrics to measure the performance of a system + Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods. Ability to select the right statistical tools given a data analysis problem. + Experience applied experience with machine learning on large datasets, deep learning, computer vision models, time series forecasting or LLMs' + Experience with cloud hosting services and storage of both unstructured and structured data + Experience with processing live data streams, including sampling, synchronization, and quantification + Experience working with software engineering and cross functional teams to build ML-powered systems ready for production + Experience in building comprehensive model evaluation tooling and processes **It'd be great if you had these:** + Thrive on ambiguity, setting own goals and effectively delivering to them in a very fast-changing environment + Ability to influence without authority, working with technical and cross-functional teams who do not report into this role to get things done + Distinctive problem solving and analysis skills, combined with impeccable business judgment, leadership skills, and ability to communicate with a senior management team + Attention to detail, project management, and organizational skills + Fast learner with capacity to learn about a wide-spread of different technologies & industries + Passion for the energy and climate space **Our values** + **Take charge** : We take initiative and own outcomes that move the mission forward. + **Transform with purpose:** We build solutions that solve real problems and create meaningful impact. + **Be a Tapestry, not a thread** : We collaborate across diverse skills and perspectives to achieve more than we can individually. + **Always fine-tune** : We stay curious, seek feedback, and refine our understanding as we learn. **Stay grounded:** We listen openly, value different perspectives, and stay focused on what matters most. The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. **An Equal Opportunity Workplace** At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

About the Team Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale. About the Role As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology. What You'll Do + Partner with product, engineering, and UX to develop data-driven product strategies + Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights + Develop and implement novel, goal-oriented metrics + Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience + Communicate findings & recommendations to stakeholders, including executives + Champion data-driven culture by feeding user engagement insights back into models + Collaborate with the GenAI team on model quality and feature adoption + Act as a technical leader for the local team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work [For L6 only] What We're Looking For + A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge. + Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems. + Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R. + Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions. + A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption. + A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information. Why You'll Love Working Here + Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people and be one of the greatest forces for good in the world. + Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs. + Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it. The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

_corporate_fare_ Google _place_ Mountain View, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of work experience with a Master's degree. + Experience building predictive or causal models to understand user behaviors (such as churn, loyalty, engagement, etc.). **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). **About the job** Google Pixel phones, watches, and earbuds showcase the best of Google's hardware and AI. We develop technologies to make user experiences faster, more powerful, and seamless including industry leading camera features powered by Google's expertise in Artificial Intelligence and Machine Learning. The Pixel Data Science team's mission is to power the growth and evolution of the Pixel ecosystem. We bridge data, analytics, and business strategy, acting as essential thought partners to product and strategy leaders within the centralized Devices and Services Strategy and Operations (StratOps) organization. By uncovering critical insights and developing data-driven solutions, we optimize performance, enhance user experiences, and help scale the Google Pixel business. In this role, you will provide business critical insights, leveraging data to influence the direction of products. Your work will directly contribute to key decisions and the overall success of the Pixel line.The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Perform analysis on key Pixel metrics utilizing advanced investigative tools (e.g., SQL, R, Python). Own and execute the full workstream for Pixel dashboards, including data engineering, dashboard design, metrics definition, and insights sharing. + Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of statistical models, and presentation to stakeholders. + Develop solutions for ambiguous problems lacking clear precedent by framing hypotheses and providing recommendations that combine investigative and product-specific expertise. + Liaise and align cross-functionally with Product Management, Marketing, Sales, and Executive leadership to translate analytics into actionable business solutions. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 years of work experience and a Master's degree. **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). **About the job** Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Measurement is a cornerstone of performance advertising, driving the majority of Google Ads business growth. Accurate and unbiased measurement empowers bidding engines to maximize advertiser ROI, fostering growth for both advertisers and Google. The Product Analyst team applies advanced analytics to guide Google Ads strategy in this crucial area, ensuring that our advertising solutions effectively connect businesses with customers and deliver measurable results across our ad platforms. The AIM Data Science team provides quantitative support, market understanding, and a strategic perspective to our partners throughout the organization in close collaboration with the Ads and Commerce Finance team. As the Staff Product Data Scientist for Enterprise Platforms, you will help drive the vision of how large advertisers buy Google and third-party advertising inventory efficiently. You will be responsible for setting the team's strategic direction, managing stakeholder relationships. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggest new analyses, infrastructure, or experiments to drive improvements in the business). + Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presentation to stakeholders. + Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing them, generating hypotheses, and making recommendations from a perspective that combines both analytical and product-specific expertise. + Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. + Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. **Preferred qualifications:** + 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + Experience working with Large Language Models (LLM's) or applied AI. **About the job** Ads Metrics is the Data Scientist team for Search, Owned and Operated (O&O) ads. We support the Search Ads and Google Experience (SAGE) organisation in developing the most important ad products at Google. These products are at the heart of Google's business driving in annual growth and are advanced, and rapidly growing and evolving. We are also working on the most exciting projects related to AI (LLM Eval, AI Mode). Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. + Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. + Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree. **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). **About the job** Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Measurement is a cornerstone of performance advertising, driving the majority of Google Ads business growth. Accurate and unbiased measurement empowers bidding engines to maximize advertiser Return On Investment (ROI), fostering growth for both advertisers and Google. The Product Analyst team applies advanced analytics to guide Google Ads strategy in this crucial area, ensuring that our advertising solutions effectively connect businesses with customers and deliver measurable results across our broad ad platforms. Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality. + Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities. + Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance. + Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics. + Execute defined, moderately difficult analytical tasks under guidance from the manager or executive team members/TL. For straightforward problems, execute end-to-end analysis with minimal guidance. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ New York, NY, USA; Mountain View, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. **Preferred qualifications:** + 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + Experience with advanced optimization techniques. + Experience with high dimensional statistics. **About the job** As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising and will be a key part of building and driving impact on ad-systems both at Google and in the ad-tech and mar-tech industry as a whole, globally.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Design and evaluate custom data infrastructure or existing data models using specialized knowledge to mathematically express and solve defined problems with limited precedent. + Shape and support new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams. + Define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, aiming, bidding and develop and implement quantitative methods to answer those questions through team collaboration. + Solve difficult, non-routine analysis problems with data sets, applying advanced problem-solving methods as needed and conducting analyses that include data gathering and requirements specification, Exploratory Data Analysis (EDA), model development, and written and verbal delivery of results to business partners and executives. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; New York, NY, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; New York, NY, USA** . **Minimum qualifications:** + PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics) or another discipline involving experimental design and quantitative analysis of data. + 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. + Experience in one or more of the following areas: coding (e.g., C/C++, Python, Java), databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), statistical analysis (e.g., R, Stata, SPSS, SAS), or hypothesis testing. **Preferred qualifications:** + Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). + Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.). + Applied experience with machine learning on large datasets. + Ability to start full-time role in 2026. **About the job** Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability, storage solutions, large-scale applications, and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. + Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. + Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, restructure, or validate data to ensure quality and review the dataset to ensure it is ready for analysis. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; San Francisco, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 4 years of experience in a data science role using data to influence business or product decisions. + Experience analyzing data from various sources such as product instrumentation, customer support systems, and internal operational tools. + Experience with SQL, Python or R programming including advanced data analysis, statistical modeling, and data visualization. **Preferred qualifications:** + PhD degree in a relevant quantitative field. + Experience in causal inference techniques to measure the true impact of business actions. + Experience in Customer Support or Support-adjacent roles. + Ability to work cross-functionally and communicate technical findings to non-technical audiences. + Excellent product intuition and business acumen, with experience influencing both product and business strategy. **About the job** In this role, you will be using data to solve problems and you will be a key partner to stakeholders across product, operations, and engineering, helping to drive our strategy by analyzing the entire customer journey. You will address a wide range of issues, from optimizing product features and user behavior to analyzing the customer support experience and streamlining internal processes. You will use your investigative and statistical skills to make data-informed decisions across the board.The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Partner with product, operations, and engineering stakeholders to prioritize opportunities for improvement; collaborate with partner teams to define data requirements and build foundational datasets for key business and product initiatives. + Drive and separately scope and analysis projects from inception to completion, defining success metrics and managing stakeholder communication along the way; design, execute, and analyze A/B experiments on product features, internal tools, and operational workflows to measure their impact. + Apply causal inference and advanced statistical modeling to measure the impact of critical product and business initiatives and understand their key drivers. + Manage analyses of the user journey to identify friction points and opportunities; translate investigative findings into actionable insights and narratives for various stakeholders. + Perform opportunity sizing for new product and business initiatives to inform the roadmap and resource allocation. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; San Francisco, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. **Preferred qualifications:** + 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. **About the job** The Age Assurance team's mission is to provide Google with reliable, privacy-preserving age signals and to support seamless, age-appropriate journeys across Google products. In this role, the team plays a critical part in identifying minors through predictive methods and designing user experiences that allow users to proactively verify their age to access sensitive content. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Work with cross-functional teams and develop understanding of the underlying product problems that the team is aiming to solve. Design and inform analysis and collaborate closely with cross-functional counterparts and product leads while designing analysis. + Translate business problems into tractable investigative problems and execute analysis to drive change. + Develop and improve inference and prediction algorithms in high-stakes. + Perform data analysis and modeling to identify opportunities for product improvement and measure the impact of initiatives to continuously refine our products. + Help design and analyze experiments and consult with engineering teams on the analysis of A/B tests. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Austin, TX, USA; +2 more; +1 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 3 years of experience in a data science role, with machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions. + Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face). **Preferred qualifications:** + PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. + Experience with Large Language Models (LLMs), including application in solving business problems. + Experience in intelligent self-sustaining agents, including design, development, evaluation, and deployment. + Experience with cloud platforms (e.g., Google Cloud Platform) and AI/ML services related to LLMs and generative AI. + Experience in customer support or support-adjacent roles. + Excellent programming skills in Python or a similar language with the ability to translate data into actionable insights and communicate findings to technical and non-technical stakeholders. **About the job** As a Business Data Scientist, you will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with datasets to develop and deploy innovative AI/ML solutions, translating data into actionable strategies. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Drive customer success at scale while researching and integrating advancements in Large Language Models (LLMs), Generative AI, and AI agent architectures to continuously enhance our capabilities and foster innovation. + Lead development and deployment of advanced AI/ML solutions, with an emphasis on LLMs and intelligent self-sustaining, agents, addressing business issues. + Implement evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality). + Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability. + Identify and define AI/ML opportunities by collaborating with stakeholders to translate business needs into technical requirements and measurable outcomes. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; San Francisco, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 4 years of experience in a data science role using data to influence business or product decisions. + Experience analyzing data from various sources such as product instrumentation, customer support systems, and internal operational tools. + Experience with SQL, Python or R programming including advanced data analysis, statistical modeling, and data visualization. **Preferred qualifications:** + PhD degree in a relevant quantitative field. + Experience in causal inference techniques to measure the true impact of business actions. + Experience in Customer Support or Support-adjacent roles. + Ability to work cross-functionally and communicate technical findings to non-technical audiences. + Excellent product intuition and business acumen, with experience influencing both product and business strategy. **About the job** In this role, you will be using data to solve problems and you will be a key partner to stakeholders across product, operations, and engineering, helping to drive our strategy by analyzing the entire customer journey. You will address a wide range of issues, from optimizing product features and user behavior to analyzing the customer support experience and streamlining internal processes. You will use your investigative and statistical skills to make data-informed decisions across the board.The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Partner with product, operations, and engineering stakeholders to prioritize opportunities for improvement; collaborate with partner teams to define data requirements and build foundational datasets for key business and product initiatives. + Drive and separately scope and analysis projects from inception to completion, defining success metrics and managing stakeholder communication along the way; design, execute, and analyze A/B experiments on product features, internal tools, and operational workflows to measure their impact. + Apply causal inference and advanced statistical modeling to measure the impact of critical product and business initiatives and understand their key drivers. + Manage analyses of the user journey to identify friction points and opportunities; translate investigative findings into actionable insights and narratives for various stakeholders. + Perform opportunity sizing for new product and business initiatives to inform the roadmap and resource allocation. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Austin, TX, USA; +2 more; +1 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 3 years of experience in a data science role, with machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions. + Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face). **Preferred qualifications:** + PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. + Experience with Large Language Models (LLMs), including application in solving business problems. + Experience in intelligent self-sustaining agents, including design, development, evaluation, and deployment. + Experience with cloud platforms (e.g., Google Cloud Platform) and AI/ML services related to LLMs and generative AI. + Experience in customer support or support-adjacent roles. + Excellent programming skills in Python or a similar language with the ability to translate data into actionable insights and communicate findings to technical and non-technical stakeholders. **About the job** As a Business Data Scientist, you will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with datasets to develop and deploy innovative AI/ML solutions, translating data into actionable strategies. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Drive customer success at scale while researching and integrating advancements in Large Language Models (LLMs), Generative AI, and AI agent architectures to continuously enhance our capabilities and foster innovation. + Lead development and deployment of advanced AI/ML solutions, with an emphasis on LLMs and intelligent self-sustaining, agents, addressing business issues. + Implement evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality). + Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability. + Identify and define AI/ML opportunities by collaborating with stakeholders to translate business needs into technical requirements and measurable outcomes. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). **About the job** Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. We're looking for a creative data scientist to join a small, agile team developing new AI products and infrastructure. As part of this team, you will leverage your expertise to drive decision-making with data including making recommendations, measuring return on investment, and identifying new opportunities to pursue.Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). + Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presentation to stakeholders. + Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise. + Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. + Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ YouTube _place_ San Bruno, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. **Preferred qualifications:** + 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. + Experience with classifiers. **About the job** At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions, providing feedback to translate and refine them into analysis, evaluation metrics, or mathematical models. + Leverage custom data infrastructure or existing data models using specialized knowledge to design and evaluate models that mathematically express and solve defined problems. + Gather information, business goals, priorities, and organizational context around the questions to answer, including the existing and upcoming data infrastructure. + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python), formatting, re-structuring, or validating data to ensure quality, and readiness for analysis. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About the SAP Internship Experience Program The SAP Internship Experience Program is SAP's global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. Three reasons to intern at SAP Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. Gain visibility: with SAP Internship Experience Program in your title, you'll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips. What you'll do Position Title: SAP iXp Intern - HanaHaus Business Intelligence Analyst Location: Newport Beach, CA Expected Start Date: March 2026 Contract Duration: 6 months (Minimum) Work Hours: 40 hours per week In this role, you'll: Provide support to the HanaHaus team, assisting with day-to-day business tasks. Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards to support effective decision-making by stakeholders. Research, design, and execute innovative operations processes to enhance and scale the business. Conduct financial forecasting and track product utilization. Improve and document finance processes, automating them whenever possible. Gather data and contribute to the preparation of monthly and quarterly presentations for leadership meetings. Leverage various sources of user and financial information to identify and recommend new business opportunities. Actively participate in strategic projects Collaborate with technical experts and non-technical stakeholders to assist in product management and guide the translation of business objectives into product development goals. Conduct ad-hoc data analysis and investigations to ensure data quality. Define, develop, and maintain critical business and operational reports reviewed on a regular basis. Analyze historical data to extract meaningful insights, identify trends, and support decision-making through written and verbal presentation of results and recommendations. Extract information from multiple data sources, perform exploratory data analysis, and identify correlations and patterns to meet business needs. What you bring We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Education: Bachelor's in Business Information Management / Business Analytics / Finance / Data Analytics / Data Science / Computer Science, or enrolled in Master's. Eligibility: Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor's, master's or JD/PhD program. We are seeking an individual eager to use data-driven methods to support all aspects of business operations. You are someone who takes initiative, perseveres, and maintains a curious mindset. You enjoy working on meaningful and innovative projects and are driven by continuous learning. The ideal candidate will possess a solid foundation in data analysis, financial reporting, business development, and product operations. Proficiencies in Excel, Python, and SQL are a must. Additional advanced technical skills in Python and SQL with experience in metabase are highly desirable. Doer: You do what you love! Credibility is earned at HanaHaus through execution and getting things done. You're able to dig into the details and deliver results under highest expectations on time and quality. We value pragmatism and creative outcomes. Customer-focus: You should have the ability to identify customer needs and create/drive solutions. Be able to translate trends to actionable ways to anticipate customer and market needs. Collaborator: There is no room for “I” at HanaHaus. Every role and individual are in the organization to serve the team. You will be asked to build trust across the organization and be a good team player. You should be open to new and innovative solutions and are also willing to adjust course when appropriate new ideas or objections are raised. Self-starter: At HanaHaus, we value independence and initiative. You possess the drive to tackle challenges head-on and effectively manage deadlines with self-motivation. You excel at identifying obstacles and attacking new issues, contributing meaningfully to our collaborative team dynamic. Preferred Requirements: Previous experience in finance reporting, data analysis, business development and product operations. A willingness to learn and grow into the role. Proficiency in SQL for data extraction and manipulation. Advanced SQL knowledge (e.g. window functions, recursive queries) highly preferred. Experience with data visualization tools such as PowerBI, Tableau, or Metabase. Proficiency in Microsoft Excel for revenue reporting and analysis. Experience using Python and pandas to automate data processing. Strong interpersonal and communication skills for effective collaboration between technical and non-technical stakeholders. Experience with Metabase. Meet your team The HanaHaus team is seeking a talented and passionate community strategist with a focus on data analysis, business intelligence, and operations. This full-time internship position will be based in Newport Beach, CA. Our team at HanaHaus takes pride in adding a personal touch to each location, and we are committed to empowering our members in every possible way. By creating inspiring first impressions with everyone we meet, we ensure that HanaHaus remains a thriving hub for small businesses and entrepreneurs. We are the heart and soul of the HanaHaus experience. The intern will be responsible for drawing insights from live data and designing innovative business initiatives to take HanaHaus to new heights. We are searching for an individual with a "can do" attitude who can work at the intersection of business and technology. This role requires a strong technical background, with expertise in data analysis, data visualization, and data cleaning techniques. The intern will utilize these skills to drive growth, conduct revenue reporting, and provide valuable insights. If you are a motivated individual who thrives in a dynamic environment, possesses excellent technical skills, and can leverage data to make informed business decisions, we encourage you to apply. This internship offers a unique opportunity to gain hands-on experience in data analytics and business intelligence while supporting all areas of the business. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: ***************. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 26-47 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 443350 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About the SAP Internship Experience Program The SAP Internship Experience Program is SAP's global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. Three reasons to intern at SAP Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. Gain visibility: with SAP Internship Experience Program in your title, you'll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips. What you'll do Position Title: SAP iXp Intern - HanaHaus Business Intelligence Analyst Location: Newport Beach, CA Expected Start Date: March 2026 Contract Duration: 6 months (Minimum) Work Hours: 40 hours per week In this role, you'll: * Provide support to the HanaHaus team, assisting with day-to-day business tasks. * Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards to support effective decision-making by stakeholders. * Research, design, and execute innovative operations processes to enhance and scale the business. * Conduct financial forecasting and track product utilization. * Improve and document finance processes, automating them whenever possible. * Gather data and contribute to the preparation of monthly and quarterly presentations for leadership meetings. * Leverage various sources of user and financial information to identify and recommend new business opportunities. * Actively participate in strategic projects * Collaborate with technical experts and non-technical stakeholders to assist in product management and guide the translation of business objectives into product development goals. * Conduct ad-hoc data analysis and investigations to ensure data quality. * Define, develop, and maintain critical business and operational reports reviewed on a regular basis. * Analyze historical data to extract meaningful insights, identify trends, and support decision-making through written and verbal presentation of results and recommendations. * Extract information from multiple data sources, perform exploratory data analysis, and identify correlations and patterns to meet business needs. What you bring We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Education: Bachelor's in Business Information Management / Business Analytics / Finance / Data Analytics / Data Science / Computer Science, or enrolled in Master's. Eligibility: Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor's, master's or JD/PhD program. We are seeking an individual eager to use data-driven methods to support all aspects of business operations. You are someone who takes initiative, perseveres, and maintains a curious mindset. You enjoy working on meaningful and innovative projects and are driven by continuous learning. The ideal candidate will possess a solid foundation in data analysis, financial reporting, business development, and product operations. Proficiencies in Excel, Python, and SQL are a must. Additional advanced technical skills in Python and SQL with experience in metabase are highly desirable. Doer: You do what you love! Credibility is earned at HanaHaus through execution and getting things done. You're able to dig into the details and deliver results under highest expectations on time and quality. We value pragmatism and creative outcomes. Customer-focus: You should have the ability to identify customer needs and create/drive solutions. Be able to translate trends to actionable ways to anticipate customer and market needs. Collaborator: There is no room for "I" at HanaHaus. Every role and individual are in the organization to serve the team. You will be asked to build trust across the organization and be a good team player. You should be open to new and innovative solutions and are also willing to adjust course when appropriate new ideas or objections are raised. Self-starter: At HanaHaus, we value independence and initiative. You possess the drive to tackle challenges head-on and effectively manage deadlines with self-motivation. You excel at identifying obstacles and attacking new issues, contributing meaningfully to our collaborative team dynamic. Preferred Requirements: * Previous experience in finance reporting, data analysis, business development and product operations. A willingness to learn and grow into the role. * Proficiency in SQL for data extraction and manipulation. Advanced SQL knowledge (e.g. window functions, recursive queries) highly preferred. * Experience with data visualization tools such as PowerBI, Tableau, or Metabase. * Proficiency in Microsoft Excel for revenue reporting and analysis. * Experience using Python and pandas to automate data processing. * Strong interpersonal and communication skills for effective collaboration between technical and non-technical stakeholders. * Experience with Metabase. Meet your team The HanaHaus team is seeking a talented and passionate community strategist with a focus on data analysis, business intelligence, and operations. This full-time internship position will be based in Newport Beach, CA. Our team at HanaHaus takes pride in adding a personal touch to each location, and we are committed to empowering our members in every possible way. By creating inspiring first impressions with everyone we meet, we ensure that HanaHaus remains a thriving hub for small businesses and entrepreneurs. We are the heart and soul of the HanaHaus experience. The intern will be responsible for drawing insights from live data and designing innovative business initiatives to take HanaHaus to new heights. We are searching for an individual with a "can do" attitude who can work at the intersection of business and technology. This role requires a strong technical background, with expertise in data analysis, data visualization, and data cleaning techniques. The intern will utilize these skills to drive growth, conduct revenue reporting, and provide valuable insights. If you are a motivated individual who thrives in a dynamic environment, possesses excellent technical skills, and can leverage data to make informed business decisions, we encourage you to apply. This internship offers a unique opportunity to gain hands-on experience in data analytics and business intelligence while supporting all areas of the business. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: ***************. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 26-47 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 443350 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid Requisition ID: 443350 Posted Date: Jan 26, 2026 Work Area: Information Technology Career Status: Student Employment Type: Limited Full Time Expected Travel: 0 - 10% Location: Newport Beach, CA, US, 92660 Job alert share Nearest Major Market: Orange County Nearest Secondary Market: Los Angeles Job Segment: Business Intelligence, Data Analyst, ERP, SAP, Business Development, Technology, Data, Sales