• Design, develop, and maintain complex HR reports, dashboards, and visualizations using UKG and IBM Cognos Analytics • Analyze workforce, compensation, turnover, compliance, and operational HR data to identify trends and insights • Translate ambiguous business requirements into scalable, repeatable reporting solutions • Ensure accuracy, consistency, and integrity of HR data across all reporting outputs • Develop executive-ready dashboards and visualizations using Power BI and UKG reporting tools • Apply data visualization best practices to present complex information clearly and effectively • Create visual narratives that enable HR Business Partners, HR leadership, and HRIS team members to understand reporting requirements and recommend analytical solutions • Standardize reporting layouts and visualization approaches where appropriate • Partner closely with HR Business Partners to understand reporting needs and analytical questions • Serve as a consultative resource for interpreting HR data and explaining insights to non-technical audiences • Collaborate with HRIS team members to align reporting outputs with system configuration and data structures • Act as a subject-matter expert for advanced UKG reporting and analytics capabilities • Support continuous improvement of HR reporting processes, documentation, and report inventories • Perform data validation and quality assurance to ensure the accuracy and integrity of HR Reporting

Title: Data Science - Analyst 3 Location: Hybrid San Jose, CA time type Full time job requisition id R0074719 At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: Our team helps shape the future direction of eBay by defining where we play, how we win, and how we create differentiated experiences for our customers. We focus on deeply understanding the needs of core buyers and translating those insights into strategies that strengthen eBay’s position in the market. To bring that strategy to life, we partner closely with Product, Technology, and regional business teams across the end-to-end customer experience. Within this space, the View Item team plays a critical role in the buyer journey by helping customers evaluate products and make confident purchase decisions. As a Data Science Analyst supporting this domain, you will apply advanced analytics, experimentation, and machine learning to inform product strategy and influence roadmap decisions. This is a high-impact role for someone who combines strong technical depth with strategic thinking and brings a passion for improving the e-commerce experience at scale. What you will accomplish: - Shape the View Item product roadmap by delivering insights and analytical thought leadership that influence product, engineering, and business decisions. - Define and own success metrics, measurement frameworks, and experimentation roadmaps for key View Item product areas, helping the team make faster and more confident decisions. - Apply advanced statistical methods and machine learning techniques to solve complex, ambiguous product and marketplace problems with meaningful buyer and revenue impact. - Design, execute, and interpret A/B tests and other causal measurement approaches to evaluate product changes and identify opportunities to improve the buyer experience. - Develop forward-looking analytical approaches, including predictive and experimental models, to better understand customer behavior and guide long-term product strategy. - Partner cross-functionally with senior stakeholders across Product, Engineering, and Business teams to translate complex findings into clear recommendations that improve buyer and seller outcomes at scale. What you will bring: - 3–5 years of experience in analytics, data science, or a related quantitative field, ideally supporting product decisions in an e-commerce or consumer technology environment. - Strong hands-on proficiency in SQL and one or more analytical programming languages such as Python or R, with experience turning large-scale data into actionable insights. - Experience applying statistical methods, experimentation, and machine learning techniques to real business problems, including descriptive and inferential analysis and predictive modeling. - Familiarity with modern machine learning frameworks and approaches such as ensemble models, deep learning, or transformer-based methods; experience with site experimentation is a plus. - Demonstrated ability to connect insights to product growth opportunities, think critically in ambiguous environments, and influence decisions through data-driven recommendations. - Strong communication skills and a solid quantitative foundation, with a bachelor’s degree or equivalent experience in a field such as Computer Science, Mathematics, Economics, Physics, or Engineering; advanced study is a plus. Additional Details The base pay range for this position is expected in the range below: $127,600 - $170,300 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Data Coordination Analyst City Remote Country United States Working time Full-time Job Description: Friday, June 26, 2026 Remote United States Full-time Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex business data into actionable insights that drive decision-making, operational efficiency, and continuous improvement. Working closely with leadership and cross-functional teams, you will analyze data from multiple sources, develop dashboards and reports, identify trends and anomalies, and support the design of innovative reporting and business intelligence solutions. The ideal candidate combines strong analytical and technical skills with a passion for problem-solving and data storytelling. You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well suited for a detail-oriented professional with 3+ years of related experience who enjoys working with data, collaborating with stakeholders, and delivering insights that support mission-critical federal programs. Essential Duties and Responsibilities: - Build and maintain dashboards, metrics, or reports and identify trends or anomalies. - Support new reporting functionality as well as the development and improvement of new reporting. - Design new data collection models to better collect information. - Consult with leadership to identify data sources, required data elements, or data validation standards. - Analyze data sets using statistical techniques. Communicate trends and patterns that enhance the opportunities to the business. - Generate reports with market trends past and present. - Understand business data needs and design business intelligence solutions to facilitate data gathering, storage, and retrieval. Additional Duties and Responsibilities: - Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership. - Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed. - Writes queries or reports to provide data for various analytical projects. - Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement. - Bachelor's degree in related field. - 3+ years of related experience. - Analytical thinking skills. - Statistical knowledge and technical expertise. - Ability to meet deadlines. - Mathematical skills. - Project management skills. Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews. Minimum Salary $ 56,000.00 Maximum Salary $ 80,370.00

• Perform data analysis and cross-reference information to generate insights • Conduct statistical analyses and data modeling • Build datasets for inclusion in dashboards