Data analyst internship jobs in Renton, WA

Business UnitAbout the Hiring TeamTiMi Montreal is a new AAA development team making an innovative open world role-playing game in Unreal Engine 5 that is part of the award-winning TiMi Studio Group and Tencent. The studio's core team has a proven track record making hit open world games, including Assassin's Creed, Far Cry and Watch Dogs. This is an ambitious team who aspires to be a flagship first-party studio for TiMi, reaching global audiences of passionate gamers who appreciate the studio's optimistic and inclusive culture that rewards disruptive, risk-taking game development.What the Role EntailsAward-winning TiMi Studio Group seeks a Data Analyst in Bellevue, WA, US. TiMi Studio Group, a subsidiary of Tencent Games, is passionate about creating compelling worlds for players to explore for years to come. Are you someone who loves participating in building new worlds, understands what captivates audiences, and cares deeply about gaming as a medium? Are you ready to channel your passion and energy into creating expansive open world games for global audiences? Then, come join us in our ambitious endeavor. Job Responsibilities: 1. Responsible for a global publishing PC game data analysis, establishing a data metrics system (monitoring, alerting, and interpretation) and visualizing, tooling, and systematizing it. 2. Utilize game features and functionalities to deliver data analysis and support, driving product optimization while aiding R&D and publishing decision-making processes. 3. Monitor critical game metrics, proactively identify and alert on data anomalies, diagnose issues, and mitigate associated risks. 4. Implement and manage data tracking integration, adapting and optimizing data collection strategies in alignment with version updates. Who We Look For Qualifications: 1. 3+years of game industry experience, with a demonstrated interest in and deep knowledge of live service video games. 2. Strong data sensitivity and logical thinking, with proficiency in data analysis and statistical tools such as SQL, Excel, and similar platforms. 3. Proven experience collaborating with development teams to instrument data collection and maintain high data quality standards. 4. Passion for the gaming industry and turning data into insights into actions. The expected base pay range for this position in the state(s) listed above is $140,000 to $185,000. Actual pay is based on market location and may vary depending on job-related knowledge, skills, actual location of work, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are also able eligible to participate in the Company's 401(k) plan, are eligible to accrue from 15 up to 25 days of vacation leave per year, up to 10 paid holidays per year, and accrue up to 10 days of paid sick leave per year. Your benefits eligibility requirement will be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may be pro-rated for those who start working during the calendar year. Why Join Us? Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $26.98 to $62.37 per hour. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.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.

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs. You will love this job if: You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems You enjoy working at the very cutting edge of R&D You want to experience an early stage startup What you'll be responsible for: Researching and proposing solutions to the different science problems in an evolving environment Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs Working with the engineering team who will be responsible for integrating and deploying your work in production Conducting regular internal science reviews What we look for in a candidate: Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Strong problem-solving and time management skills Strong communication skills and capacity to report and disseminate results Passion for scientific and technical excellence Perks: Competitive pay Healthy snacks stipend Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Learn more at **************** We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

Hi My name is Ruchie Agarwal and I'm an Sr. Team Lead at Droisys. Our records show that you are an experienced IT professional with experience relevant to one of my current contract openings. Kindly send me your updated resume along with the below mentioned details: Full Name: Contact #'s: E-mail Address: Current Location: Authorization Status: How soon you can Join: Willing to Relocate: Interview Time Slot: Skype ID Highest Education US Experience: India Experience: DOB: Skill Matrix: Sr. No. Skill Years of Experience Rate Your Self(0-10) 1. A/B testing 2. site analytics 3. 4. Linked In ID : 2 Professional References: Name Phn No Official Mail ID : Project Worked Name Phn No Official Mail ID : Project Worked Position : Data Analyst Location is Redmond, WA Duration : Long Term Please share local profiles for this role. Data Analyst : The role will include the following responsibilities : - A&O Revenue and P&L Reporting, Forecast Reports etc. - Rhythm of Business process support thru reports (monthly close, quarterly business reviews and mid-year review). Create new reports if needed. Mostly, maintenance of existing reports with VB code embedded in few of the reports. - Field and Corporate Inquiry / Issue management with Reporting The individual should possess the following competencies at a minimum - Moderate VBA skills would be a plus point. - Financial Analysis experience - Self-starting team player with an optimistic outlook and positive attitude - Deep expertise of Excel reporting & analysis (to include Pivot Tables, PowerPivot, Power View and reports based on OLAP queries, Data Validation, Lookups, Nested ifs, macros, Conditional Formatting etc.) - Deep expertise of Productivity Software & Services (Outlook, PowerPoint, SharePoint, SharePoint Online Lync, O365) - Understanding or awareness of SQL Server remote management/access and data cubes -- Thanks/Regards Ruchie Agarwal Desk: ************ Extn. 299 Cell : ************ Skype : ruchi.droisys Address: 4800 Patrick Henry Dr., Santa Clara, CA 95054 [email protected] | *************** | Join Droisys Group Help promote Green Business practices by not printing this email. Seven-Time Inc. 5000 Honoree 2008, 2009, 2010, 2011, 2012, 2013, 2014 OUR MISSION: Droisys is an internationally recognized leader helping mankind advance and businesses grow through cost effective technology. Our focus is on creating secure applications to simplify people's lives so they become raving fans. Additional Information All your information will be kept confidential according to EEO guidelines.

About Centific At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills, and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people - from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed. About Job Help us fight email fraud with AI Are you passionate about data and AI? Do you want to learn how to use data labelling to train AI models for email fraud prevention? If yes, then this internship is for you. We are looking for a data analyst intern who will join our grading team and work on data labelling projects. You will be responsible for creating, reviewing, and validating data labels for various email fraud scenarios. You will also help us analyze the quality and performance of the data labels and the AI models. This is an entry level position and an internship. You will work for 3 months, part-time. You will receive training and mentorship from our experienced senior graders and managers. You will also have the opportunity to learn about email fraud prevention, AI, and data science best practices. What you will do Create data labels for email fraud scenarios using a data labelling platform Analyze the quality and performance of the data labels and the AI models Provide feedback and suggestions for improving the data labelling process Collaborate with the data science team and other stakeholders on data labelling projects Learn and Grow: gain hands-on experience in the dynamic field of AI and data labeling, by working alongside industry experts and solving real-world problems Join a growing company using technology to help tackle enterprises' toughest challenges.

At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills, and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people - from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed. About Job Help us fight email fraud with AI Are you passionate about data and AI? Do you want to learn how to use data labelling to train AI models for email fraud prevention? If yes, then this internship is for you. We are looking for a data analyst intern who will join our grading team and work on data labelling projects. You will be responsible for creating, reviewing, and validating data labels for various email fraud scenarios. You will also help us analyze the quality and performance of the data labels and the AI models. This is an entry level position and an internship. You will work for 3 months, part-time. You will receive training and mentorship from our experienced senior graders and managers. You will also have the opportunity to learn about email fraud prevention, AI, and data science best practices. What you will do * Create data labels for email fraud scenarios using a data labelling platform * Analyze the quality and performance of the data labels and the AI models * Provide feedback and suggestions for improving the data labelling process * Collaborate with the data science team and other stakeholders on data labelling projects * Learn and Grow: gain hands-on experience in the dynamic field of AI and data labeling, by working alongside industry experts and solving real-world problems Join a growing company using technology to help tackle enterprises' toughest challenges.

This job is with Encode, Inc a fully owned subsidiary of Lancesoft A successful candidate will understand the importance of collaboration as this position will focus on working directly with multiple stakeholders including business, solution architects and developers to implement SAP projects. Position Responsibilities •Responsible for Conducting Workshops and Contribute towards process solutioning •Collaborate with cross functional teams comprising of business SMEs, Architects, Developers and SIs (vendor consultants) on current processes and proposing solutions to enhance current systems for projects and products •Identify, recommend and implement complex configuration solutions and implement full cycle configuration to meet business needs;create and update associated documentation •Translating Functional Specifications into Application design documents, co-ordination with ABAP team, testing of new functionality or Enhancements, Prepare Test plans and Test scripts, Perform Unit tests and integration tests •Participate in the project delivery during testing cycles and lead the root cause analysis and correction of issues •Exposure to usage of SAP Solution Manager •Ability to handle and lead the development of WRICEF objects independently in collaboration with ABAP team. •Exposure to SAP Project Systems •Certifications in either SAP PS or S/4 HANA will be an added advantage •Knowledge and Experience of SAP Activate methodology and Agile (SAFe) development methods •Contribute for overall project management plan using SAP Activate methodology •Experience with SAP S/4 Hana and FIORI •Exceptional communication and interpersonal skills Basic Qualifications (Required Skills/Experience) •At least 8 to 10 years of overall business experience in SAP Production Planning with 8+ years in SAP PP Consulting with implementation experience, including at least one E2E full life cycle implementation in SAP S/4 HANA. •Experience with SAP Production Planning in large, complex business environments, particularly in the Aerospace and Defense industry is a added advantage •Experience of S/4 HANA and should be well aware of the S/4HANA roadmap, aware of differences •between various releases and new innovations that are brought in each of the S/4HANA release. •Sound knowledge of working with Interfaces. •In depth knowledge of SAP module specific User exits, batch jobs and standard SAP reports. •Thorough understanding of SAP Production planning including material master, latest MRP Types/lot sizing procedures, back flush, range of coverage, scrap and FIORI apps, MRP areas, all relevant values in MRP view, BOMS -technical type of boms-lead time off set, item cateogarise, work centers-control keys, capacity levelling and evaluvation, Routing and advanced routing knowledge, strategy groups in depth, Usage of stock requirements, all relevant sap PP configurations. Desired Skills •In Depth Understanding of special planning procedures along with interchangeability functionality •In Depth Understanding of Discrete and repetitive manufacturing along with associated configurations •In Depth knowledge of central function activities ECM/OCM/Batch, handling and serial number management •Integration touch points with Sales/Procurement/Costing /Quality and Plant maintenance •Working knowledge with WBS •Fundamental knowledge of S4 Hana PPDS. •Good to have -SAP Quality Management Preferred Qualifications Bachelor's degree or higher Typical Education & Experience Education/experience typically acquired through advanced education (e.G. Bachelor) and typically 6 or more years'related work experience or an equivalent combination of education and experience (e.G. Master+4 years'related work experience, 10 years'related work experience, etc.) Education/experience typically acquired through advanced education (e.G. Bachelor) and typically 6 or more years'related work experience or an equivalent combination of education and experience (e.G. Master+4 years'related work experience, 10 years'related work experience, etc.)

What is special about Lighthouse? Lighthouse is built on a foundation of unique, compassionate, highly driven individuals. We elevate the strengths and talents of those around us while leveraging opportunities for growth. We offer the experience of solving complex problems while continuing to grow multiple facets of your career. Lighthouse is where innovation meets support and where collaboration is the key ingredient to success. We grow together and are stronger together. What's unique about this role? Lighthouse is seeking a Data Scientist Intern to join our Product Development team in building the next generation of eDiscovery intelligence products. In this role, you will develop highly accurate data models that drive predictability, deliver insights, and enhance business analytics. You will contribute to engineering highly available and scalable systems for real-time and near real-time analytics, leveraging both new and existing NLP and document classification technologies. If you enjoy working in an agile, collaborative environment, solving complex problems, and applying advanced machine learning and statistical techniques to deliver actionable insights, this internship is for you. What will this person do? Work 25-40 hours per week supporting the Data Science team in designing, prototyping, and testing scalable machine learning techniques for classification, recognition, matching, and attribute extraction to solve key business problems. Select and apply appropriate statistical and machine learning algorithms to address diverse data challenges while ensuring data security and privacy. Translate business opportunities into data science solutions by applying mathematical and statistical techniques to available datasets. Support client facing solution developers with issue resolution. Bring your passion and together we will shine. It would also be great if you had the following: Experience developing and implementing ML/AI models using programming or scripting languages (Python strongly preferred; hands-on familiarity with one or more of these: Spark, Scala, Databricks, MLFlow is a plus) Hands-on familiarity with one or more cloud platforms such as Azure, AWS, or GCP Experience working with both structured and unstructured data using industry-standard toolsets (e.g., SQL Python Libraries for data analysis exploration and visualization e.g., Pandas, and SQL variants) Experience using modern AI tools for software development (e.g., GitHub Copilot, Cursor, Windsurf, etc.) Currently enrolled in, or recently graduated from, a program in data science, computer science, statistics, or a related field Familiarity with software engineering principles such as testing at scale, CI/CD, and Agile development practices. Understanding of the fundamentals of machine learning, generative AI, multi-modal data analysis, data mining, and predictive modeling, with exposure to applying these methods to real-world problems Motivated to learn from peers and seniors and follow industry trends. Having an experimentation mindset. Willingness to take on solving new challenges, presentation skills to deliver insights succinctly. Work Environment and Physical Demands Duties are performed in a typical office environment while at a desk or computer table. Duties require the ability to use a computer, communicate over the telephone, and read printed material, in a quiet and professional setting. Duties may require being on call periodically and working outside normal working hours (evenings and weekends). Lighthouse celebrates and thrives on diversity and is an Equal Opportunity Employer. We hire, train, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. We welcome any talents and contributions you can bring to the team and are deeply committed to growing an environment where everyone can feel safe, is respected, and can show up as themselves. Come as you are! As required by applicable pay transparency laws, Lighthouse complies with compensation disclosure requirements for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location, or other relevant factors. The salary range for this position may be tailored to be lower or higher in different talent markets. Lighthouse interns are eligible to participate in the 401k with company match after 90 days of employment with Lighthouse. As a trailblazer and catalyst for change, Lighthouse rises to each opportunity to help our clients, and our people do what they do best-shine.

Cardinal Health Sonexus Access and Patient Support helps specialty pharmaceutical manufacturers remove barriers to care so that patients can access, afford and remain on the therapy they need for a better quality of life. Our diverse expertise in pharma, payer and hub services allows us to deliver best-in-class solutions-driving brand and patient markers of success. We're continuously integrating advanced and emerging technologies to streamline patient onboarding, qualification and adherence. Our non-commercial specialty pharmacy is centralized at our custom-designed facility outside of Dallas, Texas, empowering manufacturers to rethink the reach and impact of their products. Together, we can get life-changing therapies to patients who need them-faster. Job Summary As part of our pharmacy business, we leverage advanced analytics to uncover opportunities, solve challenges, and drive meaningful improvements in care delivery and operational efficiency. We're seeking a proactive and strategic Pharmacy Data Analyst to join our team and help shape the future of pharmacy services through data-driven insights Responsibilities + Deliver proactive, forward-looking analytics that inform strategic decisions and drive measurable improvements in pharmacy operations and patient outcomes. + Collaborate with pharmacy stakeholders to identify analytic opportunities and translate business needs into data solutions. + Develop and maintain dashboards, reports, and models using tools like SQL, Tableau, and Python. + Apply data science principles to uncover hidden patterns, forecast trends, and support predictive modeling initiatives. + Communicate insights clearly and effectively to both technical and non-technical audiences. + Stay current with emerging analytics technologies and methodologies, continuously enhancing your toolkit. + Foster a culture of data-driven decision-making across pharmacy and analytics teams. Qualifications: + Bachelor's degree in a relevant field (e.g., Data Science, Pharmacy, Public Health, Statistics, Computer Science) or equivalent experience preferred. + 4+ years of experience in data analytics, preferably in healthcare or pharmacy-related domains preferred. + Proficiency in SQL and cloud-based data environments (GCP preferred). + Strong experience with data visualization tools (Tableau preferred). + Familiarity with healthcare/pharmacy data sources and metrics is a plus. + What is expected of you and others at this level. + Strategic Thinker: You anticipate needs and proactively deliver insights that drive business value. + Data Storyteller: You translate complex data into compelling narratives that inspire action. + Problem Solver: You thrive in ambiguity and enjoy tackling complex challenges with creativity. + Tech Enthusiast: You embrace new tools and technologies to stay ahead of the curve. + Collaborative Partner: You build strong relationships and work cross-functionally to achieve shared goals. + Purpose-Driven Work: Make a tangible impact on patient care and pharmacy operations. + Growth Opportunities: Expand your skills in a dynamic, data-forward environment. + Innovative Culture: Be part of a team that values curiosity, collaboration, and continuous improvement. **TRAINING AND WORK SCHEDULES:** Your new hire training will take place 8:00am-5:00pm CST, mandatory attendance is required. This position is full-time (40 hours/week). Employees are required to have flexibility to work any of our shift schedules during our normal business hours of Monday-Friday, 8:00am-5:00pm CST. **REMOTE DETAILS** : This position is remote. Working remotely, full-time requires a dedicated, quiet, private, distraction free environment with access to high-speed internet. We will provide the computer, technology and equipment needed to successfully perform the job. The employee is responsible for providing high-speed internet. Internet requirements include the following: Maintain a secure, high-speed, broadband internet connection (DSL, Cable, or Fiber) at the remote location. Dial-up, satellite, WIFI, Cellular connections are NOT acceptable. + Download speed of 15Mbps (megabyte per second) + Upload speed of 5Mbps (megabyte per second) + Ping Rate Maximum of 30ms (milliseconds) + Hardwired to the router + Surge protector with Network Line Protection for CAH issued equipment **Anticipated salary range:** $80,900-$115,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/6/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Editorial team, you will spend each day immersed in the private markets, aiming to help our customers be better investors, advisors, and market participants. The work you will do plays a direct role in the evolution of the industry! Everyone on our team is supported by a flexible work environment and a culture that promotes curiosity, collaboration, and professional development. We prioritize recognition and respect across all roles and have a high level of camaraderie. The fast-growing nature of our organization provides ample opportunity to advance in your career and explore what interests you. As we continue investing in the talent of our group, our coverage has evolved rapidly over multiple industries and geographies. Our insights are routinely cited by top-tier publications and sought after by prominent players in the financial markets. In addition to publishing timely market insights, we also partner closely with our Product, Engineering, and Data Operations teams to continually enhance our datasets and develop unique tools that have a material impact on our customers' workflows. There is no better time to join us! PitchBook's Institutional Research Group is looking to hire a Quantitative Research Analyst to join our research team. As a valued team member, you'll hone your existing analytical skills, develop meaningful insights into a fascinating industry, and contribute to our best-in-class private capital research. The research and tools this team produces are utilized by many of the largest and influential private capital investors, asset managers, investment banks, and service providers globally. Our team is creative, analytical, driven, and focused on providing the most actionable research to our readers and clients. Primary Job Responsibilities: Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets Contribute to research and analysis across our core private equity, M&A, venture capital, and emerging technology coverage areas Work closely with other quant research analysts to develop new models and metrics, as well as identify unique data points to support research Serve as data and markets expert for all use cases that utilize PitchBook's broad database Manage and complete select time-sensitive custom research requests for subscribing clients, leveraging the team's models and IP Manage and respond to inquiries from clients, press, internal colleagues, and the general public regarding data requests and published research Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor's in Finance, Business Administration, or Economics preferred with a strong understanding of financial concepts such as valuation techniques (discounted cash flows, comps, etc.), internal rate of returns, asset allocations, etc. 3+ years of experience in financial services role or experience working with large datasets Strong Excel proficiency Experience in SQL a plus Strong skills in SQL, Python, or other programming languages Strong interest in M&A and private financial markets Critical thinker Detail oriented with an analytical mindset Strong written and verbal communication skills Experience in PitchBook Platform a plus Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $130,000-$150,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1 #LI-Onsite

Work Hours: M - F, 9:00 am - 5:30 pm Pay Rate: $35 - $40 /hr DOE & location This is a non-traditional Human Data Research Analyst role working with an exciting AI start-up. In this role your responsibilities will involve utilizing your expertise in AI to contribute to the development of optimized AI solutions. Responsibilities: Representing various clients' software to provide enhanced AI solutions to boost their business productivity. Create Use case scenarios derived from client solutions utilizing tailored AI solutions. Execute delivering your thoughts on the opportunities for improvement. Maintain and improve processes that support the creation of the Use Cases. Attend meetings as appropriate. Independently identify operational inefficiencies and work to mitigate them. Assist with other duties as needed. Keywords provides a competitive compensation package, good benefits and a casual, fun, productive and supportive working environment. We empower people to perform to the best of their ability with our “can do” attitude. We appreciate and embrace flexibility and learn at every opportunity to grow ourselves through experience, training and tackling new challenges. This is what makes us Keywordians . Requirements Cognitive Science, Computer Science or other Masters degree associated with AI Technical aptitude or experience working with AI Experience with Python, SQL, typescript (preferred) Data modeling (preferred) Experience working with and creating Data Visualizations Strong attention to detail Strong Organization skills Critical thinking and problem-solving skills Strong Analytical skills Process Improvement experience Strong aptitude of working with Google sheets, Zoom, and Slack Exemplify the quality of having a "Proactive Approach," attitude which includes a high level of accountability, transparency, and teamwork first & foremost Ability to learn on the job Benefits At KeyWords we provide all our contingent workforce with: Paid Time Off (including sick days and holidays) 401k (3% matching) Medical, Dental and Vision benefits By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at ************************************************************ Role Information: EN Studio: Keywords Studios Location: Americas, United States Area of Work: Embedded Services Service: Globalize Employment Type: Full Time Working Pattern: Remote

The R&D / Quality Food Science Intern will conduct projects of various sizes to increase nutpods' understanding of our product line and to identify new product opportunities. The intern will gain understanding of and exposure to emulsion stability, aseptic processing, and sensory analysis of coffee creamer products. The internship projects and duties will include Quality Assurance and intersect with Operations and Innovation to further our product knowledge. As a member of the R&D and Quality team, the person will work to maintain a clean, organized, and efficient R&D lab by following standards for lab use and product testing. Requirements 3.0 GPA or higher Enrolled at a 4-year accredited college or university as a sophomore, junior, senior or master's student, actively pursuing your education in Food Science or other related degrees (Food Engineering, Food Chemistry, etc.). Must have at least one semester of school left after internship completion or have acceptance into a graduate program. Currently possess unrestricted authorization to work in the United States. We do not intend to sponsor work visas with respect to this position. Ability to taste subtle flavor, aroma, and mouthfeel differences Ability to lift, move, and carry boxes and equipment up to 35lbs. PLEASE NOTE: Relocation, transportation, and housing will not be provided. Who We Are: nutpods manufactures plant based, dairy-free coffee creamers and adjacent products for coffee lovers nationwide. Now the #2 plant-based creamer brand nationwide across retail and online channels, nutpods has fostered a cult following and has exciting plans for growth in the coming years. With a small and mighty team of 35 people, nutpods is looking for eager, enthusiastic, and experienced candidates for this important role. Company Culture: Our culture is of huge importance to the owners and team at nutpods. We are looking for people who will be a great addition to our culture. We are: Kind: We treat each other with kindness and mutual respect. Dynamic: We are full of energy and defined by constant progress, collaboration, and new ideas. Relentless: We relentlessly pursue a crazy good product, business, and team. Empowered: We empower each other to fail forward with trust, transparency, and the opportunity to learn and grow. Passionate: We take immense pride in what we make, how we work together, the impact we have, and how we treat people. We strive to do what's right for our team, customers, and quality, even when no one is looking. Benefits Pay rate: $20-30 per hour Paid holidays Cell phone reimbursement nutpods is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 We're looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You'll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. What you'll do: Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we're looking for: Currently pursuing a Master's degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Ability to connect data analysis to real business problems, in order to impact business performance. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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 Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.

TikTok's Global E‑commerce Data Science team powers TikTok Shop by building analytical frameworks and product metrics to drive growth, improve operational efficiency, and optimize the buyer, seller, and creator experiences across regions. They identify trends, user or merchant behavior patterns, and opportunities for business optimization through exploratory analysis and proactive insights generation. The team designs and interprets A/B tests and causal experiments to inform product improvements for user growth, transaction funnels, and feature adoption. They also develop dashboards and data pipelines that enable cross‑functional teams-Product, Operations, and Engineering-to monitor product performance and implement data-driven changes easily. TikTok sets a culture focused on statistical rigor, ownership, and scalable machine learning methods in e-commerce decision-making at global scale. We are looking for talented individuals to join us for an internship in 2026*. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment Responsibilities: * Analyze product usage and engagement data (e.g., retention, conversion, feature adoption) to identify trends and actionable insights; * Support design and evaluation of A/B tests or feature experiments; compute lift, assess statistical significance, and help interpret outcomes; * Conduct exploratory data analysis using SQL and Python to detect patterns, anomalies, or feature-driven behaviors; * Create dashboards, visualizations, and summary reports to communicate findings to product, engineering, and design teams; * Collaborate cross-functionally with product managers and engineers to implement metrics and iterate on insights; document analysis and methodologies.Minimum Qualifications: * Currently pursuing a PhD in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Proficient in data analysis tools and languages such as SQL, Python, or R; * Practical experience with data querying and scripting languages (e.g. SQL, Python, R) and basic statistical/data analysis tools; * Familiar with statistical modeling, A/B testing, or experiment design concepts, drawn from coursework, projects, or internships. Preferred Qualifications: * Familiarity with machine learning frameworks or predictive modeling; * Prior internship or project experience in product analytics, A/B testing, or data science roles; * Strong communication, collaboration, and storytelling skills - able to translate technical findings into product recommendations. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: **************************************** If you have any questions, please reach out to us at ****************************

**What Data Analytics brings to Cardinal Health:** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant and actionable insights to support business decisions and objectives. As a Data Analyst within our Digital Solutions team, you'll play a key role in transforming data into actionable insights that drive business decisions. You'll work across teams to build scalable analytics solutions, support data governance, and contribute to the modernization of our reporting and analytics platforms. **What is expected of you and others at this level** Independently applies analytical and technical skills to solve moderately complex business problems. Demonstrates sound judgment and attention to detail in data interpretation and solution design. Works cross-functionally to clarify requirements and deliver actionable insights. Communicates findings clearly to technical and non-technical audiences. Begins to identify opportunities for process improvement and automation. Participates in project planning and contributes to business case development. **Responsibilities** + Translate business needs into analytical solutions using SQL, Python, and visualization tools. + Perform data exploration, profiling, and cleansing to ensure high-quality insights. + Build and maintain dashboards and reporting solutions using Tableau, Looker, or similar tools. + Apply descriptive and inferential statistics to identify trends, forecast outcomes, and support decision-making. + Collaborate cross-functionally to define requirements and deliver iterative analytics solutions. + Document business processes and data flows to support transparency and governance. + Contribute to data product development and participate in agile delivery cycles. + Support data governance and quality initiatives through adherence to standards and proactive issue identification. **Qualifications** + Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience. + 4-8 years of experience in data analytics or business intelligence preferred. + Proficiency in SQL and Python; experience with R is a plus. + Experience with cloud-based data platforms (e.g., GCP BigQuery, Databricks, or Snowflake). + Strong skills in data visualization tools (e.g., Tableau, Looker, Power BI). + Familiarity with statistical methods and hypothesis testing. + Knowledge of Alteryx or similar data prep tools preferred. + Experience working in agile or iterative development environments. **Anticipated salary range:** $80,900 - $115,500 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 10/15/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Work Hours: M - F, 9:00 am - 5:30 pm Pay Rate: $35 - $40 /hr DOE & location This is a non-traditional Human Data Research Analyst role working with an exciting AI start-up. In this role your responsibilities will involve utilizing your expertise in AI to contribute to the development of optimized AI solutions. Responsibilities: * Representing various clients' software to provide enhanced AI solutions to boost their business productivity. * Create Use case scenarios derived from client solutions utilizing tailored AI solutions. * Execute delivering your thoughts on the opportunities for improvement. * Maintain and improve processes that support the creation of the Use Cases. * Attend meetings as appropriate. * Independently identify operational inefficiencies and work to mitigate them. * Assist with other duties as needed. Keywords provides a competitive compensation package, good benefits and a casual, fun, productive and supportive working environment. We empower people to perform to the best of their ability with our "can do" attitude. We appreciate and embrace flexibility and learn at every opportunity to grow ourselves through experience, training and tackling new challenges. This is what makes us Keywordians. Benefits At KeyWords we provide all our contingent workforce with: * Paid Time Off (including sick days and holidays) * 401k (3% matching) * Medical, Dental and Vision benefits By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at ************************************************************ Experience & Requirements * Cognitive Science, Computer Science or other Masters degree associated with AI * Technical aptitude or experience working with AI * Experience with Python, SQL, typescript (preferred) * Data modeling (preferred) * Experience working with and creating Data Visualizations * Strong attention to detail * Strong Organization skills * Critical thinking and problem-solving skills * Strong Analytical skills * Process Improvement experience * Strong aptitude of working with Google sheets, Zoom, and Slack * Exemplify the quality of having a "Proactive Approach," attitude which includes a high level of accountability, transparency, and teamwork first & foremost * Ability to learn on the job Location: Seattle Washington United States Area of Work: Research

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: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning. This role for our US Operations team will be providing data solutions to E-commerce Operations teams to help solve interesting challenges for our Creator & Merchants. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. 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). Summer Start Dates: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: * Develop metrics and dashboard to measure business performance; * Identify trend and pattern from data and provide attribution of metric movement; * Provide actionable insights to drive the growth of business and improvement of operational efficiency.Minimum Qualifications: * Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc; * To succeed in the role, you need to be a proactive, self-driven and impact driven person; * Be able to work with cross-functional teams in a fast speed environment; * Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. Preferred Qualifications: * Proficient in SQL and one of the main data visualization tools such as tableau; * E-commerce or online marketplace experience is strongly preferred. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: **************************************** If you have any questions, please reach out to us at ****************************

**What Data Analytics brings to Cardinal Health:** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant and actionable insights to support business decisions and objectives. As a Data Analyst within our Digital Solutions team, you'll play a key role in transforming data into actionable insights that drive business decisions. You'll work across teams to build scalable analytics solutions, support data governance, and contribute to the modernization of our reporting and analytics platforms. **What Data Analytics brings to OptiFreight** OptiFreight, a leader in healthcare logistics, provides tailored solutions, committed experts, and innovative technology to optimize freight management and supply chain operations for healthcare providers. The Digital Solutions team is at the forefront of leveraging technology and data to drive efficiency, reduce costs, and enhance overall customer experience through advanced digital tools and platforms. **What is expected of you and others at this level** Independently applies analytical and technical skills to solve moderately complex business problems. Demonstrates sound judgment and attention to detail in data interpretation and solution design. Works cross-functionally to clarify requirements and deliver actionable insights. Communicates findings clearly to technical and non-technical audiences. Begins to identify opportunities for process improvement and automation. Participates in project planning and contributes to business case development. **Responsibilities** + Translate business needs into analytical solutions using SQL, Python, and visualization tools. + Perform data exploration, profiling, and cleansing to ensure high-quality insights. + Build and maintain dashboards and reporting solutions using Tableau, Looker, or similar tools. + Apply descriptive and inferential statistics to identify trends, forecast outcomes, and support decision-making. + Collaborate cross-functionally to define requirements and deliver iterative analytics solutions. + Document business processes and data flows to support transparency and governance. + Contribute to data product development and participate in agile delivery cycles. + Support data governance and quality initiatives through adherence to standards and proactive issue identification. **Qualifications** + Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience. + 4-8 years of experience in data analytics or business intelligence preferred. + Proficiency in SQL and Python; experience with R is a plus. + Experience with cloud-based data platforms (e.g., GCP BigQuery, Databricks, or Snowflake). + Strong skills in data visualization tools (e.g., Tableau, Looker, Power BI). + Familiarity with statistical methods and hypothesis testing. + Knowledge of Alteryx or similar data prep tools preferred. + Experience working in agile or iterative development environments. **Anticipated salary range:** $80,900 - $115,500 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/15/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************