Data analyst internship jobs in San Jose, CA

TITLE: Data Analyst ANTICIPATED DURATION: 6 months Responsibilities: Collaborate with internal teams and external partners to determine data requirements. Create templates for automated, seamless data collection into databases. Design and structure databases that capture all relevant information for reporting and analysis. Link internal and external data sources for meaningful insights. Create dashboards to highlight key metrics and overall business performance. Requirements: Prior experience designing data collection processes and structuring best practices. Strong analytical skillset; experience building recurring financial reports and visualizations. Required experience with Python, SQL, and Tableau. Understanding of consumer credit processes is a plus. Proven ability to influence and challenge outcomes to drive results. Excellent written and verbal communication skills. Big-picture thinker with curiosity and ownership of details. Strong collaborator with global business partners. The hourly pay rate range for this position is $65 to $75 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to **********************. If you require assistance or an accommodation in the application or employment process, please contact us at **********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

Mercor is recruiting **Market Research Analysts and Marketing Specialists who work in Professional, Scientific, and Technical Services Sector** as independent contractors working on a research project **for one of the world's top AI companies. ** This project involves using your professional experience to design questions related to your occupation as a Market Research Analyst and Marketing Specialist. Applicants must: - Have **4+ years full-time work experience** as a Market Research Analyst and Marketing Specialist; and - **Be based in the US, UK, or Canada** Here are more details about the role: - We aim to make **the hourly compensation rate offered to you competitive based on your professional background and geographic location** (please note that the listed hourly compensation scale is for U. S. -based applicants and that that scale will differ depending on where a candidate is geographically based) - The work is **fully asynchronous** and can be done around your schedule - This project requires that you be able to commit a **minimum of 15 hours per week** - The work **will last for approximately 3-4 weeks after you begin the project** - Please note you will need access to a desktop or laptop computer for this project and that we **cannot accept applicants who use chromebook computers** With respect to pay and legal status: - **We can meet industry-standard compensation expectations for your current role** - We will pay you out weekly via Stripe Connect based on the number of project work hours that you log - You will be classified as an “at-will” contractor to Mercor - Please note that we **cannot currently support H1-B or STEM OPT status candidates**

We're looking for a Research Intern to join WhissleAI and help advance our open-source work at the intersection of speech, vision, and structured understanding - inspired by projects like ************************ ******************** ******************* and recent multi-modal alignment research (example: ************************************************* You'll work on developing audio-visual foundation models that connect voice, context, and environment - enabling systems that can listen, see, and act coherently in real time. Most of this work is open-source and contributes directly to the broader research community. Ideal candidate Undergrad, Master's, or PhD student in CS, AI, or related field Prior research experience (conference/workshop publications a plus) Strong background in one or more of: multimodal learning, audio-visual representation learning, speech modeling, or self-supervised methods Experience with PyTorch, Hugging Face, or similar frameworks What you'll do Prototype and evaluate audio-visual alignment models Extend our open-source ASR and meta-speech pipelines Collaborate on papers, demos, and real-time VoiceAI applications Location: Remote Type: Paid internship / research collaboration

Team Introduction: TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Responsibilities: * Define success metrics to measure product growth and identify problems through monitoring or forecasting * Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations * Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis * Partner with Product, Engineering and cross-functional teams to influence and execute product strategy Minimum Qualifications: * Currently pursuing a PhD in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience * Proficient in data querying languages and at least one scripting language (e.g. Python,R) * Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods. * Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well Preferred Qualifications: * Internship experience in data science

The Data-Speech department is dedicated to the research and development of core AI technologies and product innovation related to speech, audio, and music. The department supports the entire content pipeline - from production and editing to consumption - empowering content creation and interaction. Operating as a central platform, the team provides cutting-edge technological capabilities and solutions to multiple business units across the company. Responsibilities: 1. Provide in-depth analysis and language-specific knowledge to ensure high-quality, linguistically informed speech model outputs in the target language. 2. Work closely with cross-functional teams to research local market trends and voice preferences to deliver localization solutions and enhance language adaptation of several global products. 3. Assist in the management of speech and annotation data, to ensure compliance with existing standards. Provide detailed feedback on speech model performance, contributing to iterative model improvements.Minimum Qualifications: 1. Currently enrolled in an undergraduate or graduate program in Linguistics, Language Studies, Computational Linguistics, or a related discipline. 2. Native proficiency in English and one of the following languages: Indonesian and Korean. Native-level fluency in these languages will be essential for monitoring the quality of language data, evaluating speech model outputs, and researching cultural trends in these corresponding regions. 3. Ability to provide clear, objective, and structured descriptions of linguistic features of the target language, without relying on native intuition. 4. Strong phonetic perception, including the ability to distinguish phonemic contrasts and fine-grained errors in pronunciation, prosody, intonation and pitch. Preferred Qualifications: 1. Relevant experience in TTS or LLM. 2. Experience in programming, including but not limited to C, C++, Java and Python. 3. Familiarity with local popular culture associated with the target language.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Software Integration Team Are you excited about learning how complex software systems come together to power real-world autonomy? At Zipline, we operate the world's largest autonomous delivery network, and our Software Integration team plays a critical role in making sure the software that flies our aircraft works reliably and safely in the real world. As a Software Integration Intern, you'll get hands-on experience at the intersection of robotics, embedded software, and systems engineering. Our team doesn't just write code-we bring together planning, perception, and controls software, and make sure all of it works smoothly on the aircraft, in simulation, and in real operations. You'll help test and integrate features that affect how our autonomous aircraft fly, adapt routes, and respond to unexpected situations. That means working with simulation tools, flight telemetry, and testing infrastructure to ensure new software behaves the way it should before it ever goes into the sky. This internship is a chance to learn how large, safety-critical autonomy systems are built and scaled, while contributing to technology that directly impacts communities around the world. The Role We are seeking a Data Science Intern with an interest in applying technical and engineering skills to real-world problems. The ideal candidate is eager to learn how to use data science and programming to support hardware systems integration and engineering projects. This internship provides the opportunity to work with large datasets, gain exposure to modern data tools, and apply engineering principles to create actionable insights. Familiarity with Python, SQL, and basic software development is helpful, but a strong willingness to learn is most important. What You'll Do Data Analysis & Modeling: Assist in analyzing datasets from engineering systems, vehicle sensors, and other sources to uncover patterns and support predictive modeling efforts. Data Visualization: Help design clear and visually appealing charts and dashboards using tools such as Matplotlib, Seaborn, Plotly, or Tableau to communicate findings. Dashboard Development: Contribute to the creation and maintenance of real-time dashboards that track key metrics and system performance. Data Engineering: Support data cleaning, preprocessing, and organization tasks to make datasets ready for analysis. Write simple SQL queries and learn how to work with databases. Machine Learning: Gain exposure to machine learning by assisting with model development and validation for autonomy applications Scientific Programming: Learn to apply scientific and engineering programming techniques to develop small data pipelines, automate processes, and run simulations. What You'll Bring Educational Background: Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, Electrical Engineering, Computer Science, or a related technical field. Technical Skills: Familiarity with Python for scientific programming (libraries such as NumPy, Pandas, SciPy, Plotly, etc.). Basic understanding of SQL for querying and working with data. Exposure to software development practices (version control with Git, debugging, documentation) is a plus. Mathematical & Analytical Skills: Coursework or experience with statistics, linear algebra, or numerical methods. Interest in applying engineering and data analysis to solve real-world problems. Problem-Solving: Curiosity and analytical thinking to approach technical challenges. Ability to learn how to frame engineering problems as data science problems. Communication Skills: Willingness to communicate findings clearly with technical and non-technical teammates. Strong written and verbal skills for documentation and presentations. Machine Learning & Data Modeling: Familiarity with machine learning concepts or frameworks (e.g., Scikit-learn, TensorFlow, Keras). Some experience from coursework, projects, or self-study in building or experimenting with models. Bonus Qualifications: Experience in Robotics/Automation: Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs) is a plus. Software Development: Exposure to object-oriented programming (e.g., C++ or Java) is a bonus. Cloud Computing/Big Data Tools: Familiarity with cloud services (AWS, GCP, Azure) or big data tools (Spark, Hadoop) is helpful but not required What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Spring 2026 interns from January to April. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $44 - 48/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills. The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. What you get to do in this role Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. Develop quick utility dashboards and reports to help accelerate and scale insights delivery Qualifications Current enrollment in a full-time bachelor's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later. Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. Demonstrated ability to work collaboratively SQL skills with the ability to perform effective querying involving multiple tables and subqueries. Experience with Tableau and/or Power BI (or similar analytical packages) required. Advanced Excel and PowerPoint skills. Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. Job Description As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities Perform large-scale data analysis, find interesting patterns and translate them into product improvements Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives Develop data infrastructure and improve data collection and processing tools and techniques Qualifications Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred Proficient in SQL and able to write complex SQL queries Experience with scripting languages such as Java and Python Excellent problem-solving and analytical skills Curious and creative about data, and comfort with ambiguity Additional Information We offer competitive salaries, meals, snacks, etc.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Position: Jr. Data Analyst Duration: 12+ Months Location: Walnut Creek, CA Interview Type: In-person The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation. Education: Bachelor's Required Minimum number of years of experience required: 4 years Top 3 - 5 Daily responsibilities · Gather report requirements from key stakeholders and manage their expectations accordingly · Develop and delivery new reporting capabilities, including ad-hoc requests · Provide coherent data analysis thru clear and concise dashboards · Design and develop end-to-end ETLs based on business needs Top 3 - 5 Required Skills · Six months to a year experience with Tableau Desktop · 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc) · 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding) · MS Excel high level of proficiency Desired skills · Basic knowledge of Microsoft Windows Server 2008 R2 · Some basic experience on Microsoft SharePoint 2013 · Previous hands-on experience building reports out of BMC Remedy data base / data mart Soft Skills · Ability to work on a team and work towards team goals · Comfortable working on a virtual team · Good listening skills: Ability to work with others to solicit and understand business requirements · A track record of innovation / accomplishments Additional Information For more information, Please contact Shubham Rastogi ************** *********************************

Expertise in SQL skills to profile the data. Analyse, Profile and systematically present the data for Business and management team understanding. ETL development and Data Migration tasks Interpreting the functional aspect of data & reporting aspect of data. Present the data to business and the consumers of the data which qualifies the scope and highlight gaps/issues on data from Source. Identifying patterns and trends in data sets Working alongside teams within the business, Solution team or the Technical team to establish business needs. Documenting the data mapping rules for migration. Skills and experience Skills- 1+ years of experience in Data Analysis & Development experience Junior role 3+ years of experience in Data Analysis & Development experience Mid role Have solid consulting ability across SSIS, SSRS, and expert in data profiling/analysis, SQL, and data deduplication/cleansing processes Strong Problem-Solving Skills Ability to analyze and critically evaluate gathered information to resolve conflicts, anticipate issues and make priority decisions. You will have ideally worked within a client-facing capacity, with the interpersonal and communication skills to manage and influence key relationships with stakeholders. Experience in Health Cover and insurance domain desirable not mandatory. Qualification- Relevant degree in IT industry Certification in Relevant Technologies

Business UnitWhat the Role Entails Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. Responsibilities: 1.Monitor and analyze cutting-edge AI technology trends and their applications in the gaming industry, such as AI animation generation, AI 3D generation, AI NPC and AI gameplay generation. 2.Integrate insights from internal and external experts, combine them with logical understanding, and deliver insights on AI technology development trends and implementation recommendations. Who We Look For 1.Strong interest in gaming and AI technology. good at information acquisition and analysis. 2.A background in STEM (Science, Technology, Engineering, Mathematics) is preferred Location State(s) US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $27.00 to $57.70 per hour. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

**Stanford, California, United States** Information Analytics Post Date Jul 18, 2025 Requisition # 105966 Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2. **Duties include:** · Extract clinical and operational data from internal data repositories into usable formats and develop pipeline for ongoing data extraction with new data generation, using SQL, Python, R, or other appropriate languages. · Compile survey data and clinical research data into usable formats. · Identify relevant publicly available datasets and registries, from the National Institutes of Health, multi-institutional collaboratives, and various other sources. · Obtain and harmonize external data with local data, including activities such as converting among data storage formats, merging based on common identifiers, excluding irrelevant data, consolidating naming and labeling strategies, and generating analysis-ready datasets. · Conduct feature engineering and missing data imputation as needed, and conduct reliability and validity checks. · Restructure datasets for analyses conducted independently and with other quantitative investigators as needed. · Analyze large, multi-dimensional and longitudinal data sets including Cox regression and multivariable modeling, employing prediction modeling or hypothesis testing approaches as appropriate. · Design and implement tools to independently interpret, analyze and visualize complex data from PAR and single ventricle physiology patients, including clinical, registry, operational, and survey data (including national data registries). · Identify currently unavailable data elements from available data sets, develop strategies for obtaining necessary data, and prioritize data collection approaches based on needs of division stakeholders. · Maintain comprehensive records of available and obtainable datasets, including data elements, dates, numbers of observations, etc. (this includes developing dashboards for data visualization, geared towards pediatric cardiology patients). · Oversee and maintain access to data resources, ensuring compliance with all local and external regulatory and privacy requirements, including the IRB, funding agencies, and database guidelines. · Devise and implement data quality checks to ensure data are clean, accurate, and ready for analysis. · Refine data pipelines as needed to minimize inaccurate or incomplete data. This includes utilizing Google Cloud platform tools to manage and analyze data. · Serve as the technical expert for the Division of Pediatric Cardiology for all new statistical design. · Directly manage and mentor team members in data quality and management. May telecommute within area of intended employment at employer's discretion. _~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels. ~_ _Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. The pay range for this position working in the California Bay area is $104,358.00 - $128,038.00 annually._ **EDUCATION & EXPERIENCE (REQUIRED):** Master's in bioinformatics, Biology, Public Health, Biostatistics or a related field and three years' experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics. Or, Bachelor's in Bioinformatics, Biology, Public Health, Biostatistics, or a related field and five years' experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics. **ALSO REQUIRES THREE YEARS OF EXPERIENCE IN:** · Bioinformatics, including the analysis of longitudinal data, utilizing programming and query languages including Sql, R and Python, database management. · Domain knowledge (national cardiac registries) of PAR and single ventricle physiology datasets. · Mentoring staff in data analysis and data management. · Preparing complex research data, performing advanced statistical analysis including Cox regression and multivariable modeling for journal publications and presentations. · Working UNIX/Linux environment. · Cloud-based computing platforms such as Google Cloud Platform. · Developing and maintaining live dashboards and complex data visualizations specifically tailored for monitoring and improving outcomes in pediatric cardiology. **CERTIFICATIONS & LICENSES:** None **WORKING CONDITIONS:** Some work may be performed in a laboratory or field setting. Additional Information + **Schedule: Full-time** + **Job Code: 4752** + **Employee Status: Regular** + **Grade: I** + **Department URL:** *********************************** + **Requisition ID: 105966** + **Work Arrangement : Hybrid Eligible**

About the Role Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence. The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors. Key Responsibilities Research Operations & Market Data Management Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets. Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports. Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making. Client-Focused Research & Broker Support Respond to requests for market intelligence to support broker teams and strategic pursuits. Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations. Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs. Build scalable templates and tools that enhance service delivery across geographies. Life Sciences Industry Intelligence Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions. Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines. Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement. Translate complex industry developments into relevant real estate implications for internal and external audiences. CRM Strategy, Pipeline Tracking & Business Enablement Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers. Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status. Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends. Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies. Qualifications Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred. 2-6 years of experience in life sciences, research, management consulting, or corporate strategy. Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths. Exceptional analytical skills with the ability to distill complex data into strategic insights. Strong written and verbal communication skills; experience writing reports or market commentary is a plus. CRM platform experience (Salesforce) is preferred. Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment. Why Join Savills Life Sciences? Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science. As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond. Savills values a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.

We're looking for a Research Intern to join WhissleAI and help advance our open-source work at the intersection of speech, vision, and structured understanding - inspired by projects like ************************ ******************** ******************* and recent multi-modal alignment research (example: ************************************************* You'll work on developing audio-visual foundation models that connect voice, context, and environment - enabling systems that can listen, see, and act coherently in real time. Most of this work is open-source and contributes directly to the broader research community. Ideal candidate Undergrad, Master's, or PhD student in CS, AI, or related field Prior research experience (conference/workshop publications a plus) Strong background in one or more of: multimodal learning, audio-visual representation learning, speech modeling, or self-supervised methods Experience with PyTorch, Hugging Face, or similar frameworks What you'll do Prototype and evaluate audio-visual alignment models Extend our open-source ASR and meta-speech pipelines Collaborate on papers, demos, and real-time VoiceAI applications Location: Remote Type: Paid internship / research collaboration

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. + As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills.The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. **What you get to do in this role** + Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. + Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. + Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. + Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. + Develop quick utility dashboards and reports to help accelerate and scale insights delivery + Current enrollment in a **full-time bachelor's** program in Computer Science or a related discipline at an accredited university. + **Graduating December 2026, or later.** + Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). + Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. + Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. + Demonstrated ability to work collaboratively + SQL skills with the ability to perform effective querying involving multiple tables and subqueries. + Experience with Tableau and/or Power BI (or similar analytical packages) required. + Advanced Excel and PowerPoint skills. + Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. **Work Personas** We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here (************************************************************************************************************************************* . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. **Equal Opportunity Employer** ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. **Accommodations** We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ***************************** for assistance. **Export Control Regulations** For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. Job Description As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities Perform large-scale data analysis, find interesting patterns and translate them into product improvements Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives Develop data infrastructure and improve data collection and processing tools and techniques Qualifications Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred Proficient in SQL and able to write complex SQL queries Experience with scripting languages such as Java and Python Excellent problem-solving and analytical skills Curious and creative about data, and comfort with ambiguity Additional Information We offer competitive salaries, meals, snacks, etc.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Position: Jr. Data Analyst Duration: 12+ Months Location: Walnut Creek, CA Interview Type: In-person The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation. Education : Bachelor's Required Minimum number of years of experience required: 4 years Top 3 - 5 Daily responsibilities · Gather report requirements from key stakeholders and manage their expectations accordingly · Develop and delivery new reporting capabilities, including ad-hoc requests · Provide coherent data analysis thru clear and concise dashboards · Design and develop end-to-end ETLs based on business needs Top 3 - 5 Required Skills · Six months to a year experience with Tableau Desktop · 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc) · 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding) · MS Excel high level of proficiency Desired skills · Basic knowledge of Microsoft Windows Server 2008 R2 · Some basic experience on Microsoft SharePoint 2013 · Previous hands-on experience building reports out of BMC Remedy data base / data mart Soft Skills · Ability to work on a team and work towards team goals · Comfortable working on a virtual team · Good listening skills: Ability to work with others to solicit and understand business requirements · A track record of innovation / accomplishments Additional Information For more information, Please contact Shubham Rastogi ************** *********************************