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

Title: Hr Data Analyst Location: Reston United States Systems & Software 90000 USD - 125000 USD/hour Job Description: Job Title: HR Data Analyst | Fully Remote | $125k/yr Job Description This HR Data Analyst role supports a federal human capital organization by delivering advanced workforce analytics, reporting, and data-driven insights. You will extract, analyze, and translate HR data from multiple federal systems into clear, executive-level insights that inform workforce planning, hiring strategies, and organizational performance. The position focuses on transforming complex HR datasets into actionable information that supports leadership decisions and continuous improvement across human capital operations. Responsibilities - Support workforce analytics initiatives by collecting, analyzing, and interpreting federal Human Resources data from systems such as NFC, HRConnect, USA Staffing, and other federal HR platforms. - Develop and maintain dashboards and reports that track key HR metrics, including hiring timelines, attrition, workforce demographics, and onboarding progress. - Build dynamic tools in Excel, Power BI, or similar platforms that allow real-time updates and adjustments during executive briefings and leadership meetings. - Provide recurring and ad hoc data analysis to support HR data calls, audits, and reporting requirements, and clearly demonstrate the outcomes and implications of the analysis. - Extract, normalize, and organize historical HR data from federal systems and portals such as the National Finance Center (NFC), HR Connect, USA Staffing, and Enterprise Services Portal. - Track, collect, and develop datasets that support HR audits, payroll reviews (A-123), and performance reporting requirements. - Translate complex HR datasets into clear, concise, and visually compelling presentations and dashboards for senior leadership. - Convert technical HR terminology and federal HR processes into plain-language insights that non-HR stakeholders can easily understand and act upon. - Assist in end-to-end hiring analytics, including pipeline tracking, onboarding timelines, and process optimization, and identify inefficiencies while recommending data-driven improvements. - Support continuous improvement initiatives through data analytics that align with agency HR and management goals. - Respond rapidly to changing requirements, shifting priorities, and emergent leadership requests for HR data and analysis. - Collaborate closely with HR teams, program offices, and leadership to refine analytics needs, clarify requirements, and deliver tailored analytical products. - Provide on-the-spot data adjustments, recalculations, and analysis during meetings using tools such as HRConnect, NFC, USA Staffing, and Microsoft Excel. - Pull, clean, and manipulate large datasets for data calls, convert raw data into ratios, percentages, and metrics suitable for executive briefings, and create searchable Excel workbooks. - Combine and reconcile multiple datasets into a single, coherent data call response, ensuring consistency, accuracy, and clarity. - Leverage AI tools, such as Copilot, where appropriate to support analytics, automate formulas, and improve efficiency in data processing and reporting. Essential Skills - Minimum of 4 years of experience supporting federal HR data calls, audits, and reporting requirements, including translating complex HR and workforce data into clear, actionable insights for senior leaders. - Strong understanding of federal HR processes, including hiring, onboarding, personnel actions, and workforce planning. - Advanced expertise in Microsoft Excel, including pivot tables, advanced formulas, and data modeling. - Proficiency with SQL, including writing queries and formulas to extract, join, and analyze data from multiple sources. - Experience building interactive dashboards using tools such as Excel, Power BI, Tableau, or similar platforms. - Demonstrated ability to manipulate and analyze large datasets, summarize numerical and quantifiable data, and provide usable information for decision-makers. - Experience pulling large data sets for data calls and converting raw data into ratios, percentages, and analytics suitable for executive-level briefings. - Ability to create Excel sheets and workbooks where data can be easily searched, filtered, and updated. - Familiarity with federal HR systems such as NFC (National Finance Center), HR Connect, USA Staffing (USAS), and other federal HR platforms. - Experience combining multiple datasets into a single, accurate data call response. - Strong storytelling skills using data visualization and executive-level presentations. - Knowledge of human capital strategies and workforce analytics methodologies. - Eligibility to obtain and maintain a government-required Public Trust security clearance. - U.S. citizenship, as required for access to federal systems and clearance processes. Additional Skills & Qualifications - Experience utilizing AI tools, such as Copilot, to support analytics, automate formulas, and enhance data processing efficiency. - Experience with Enterprise Services Portal or similar federal HR portals. - Demonstrated ability to present complex information in a clear, concise, and visually engaging manner for senior and non-technical audiences. - Experience supporting HR audits and payroll reviews, including A-123 reviews. - Strong collaboration skills and experience working with HR teams, program offices, and leadership to refine analytics requirements and deliver tailored solutions. - Comfort working in a fast-paced environment with shifting priorities and evolving data requests. Work Environment This position is classified as an HR Data Analyst role and is structured as a full-time equivalent (1 FTE) opportunity. The work environment is fully remote, allowing you to support federal human capital operations from a home-based setting while collaborating virtually with HR teams, program offices, and leadership. You will work extensively with federal HR systems such as NFC, HR Connect, USA Staffing, and other federal HR platforms, as well as tools like Microsoft Excel, Power BI, Tableau, SQL, and AI-based analytics assistants. The role requires the ability to obtain and maintain a Public Trust security clearance and may involve occasional coordination across time zones to meet federal reporting deadlines and leadership requests. No travel is required for this position. Job Type & Location This is a Contract to Hire position based out of Reston, VA. Pay and Benefits The pay range for this position is $90000.00 - $125000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.