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# Data Science Analyst

- **Company:** eBay
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $108,800.0 - $145,200.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, BASIC (Programming Language), Big Data, Data Systems, Statistical Hypothesis Testing, Python (Programming Language), SQL Databases, Information Technology
- **Published:** July 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=178bcba6a828df9a

## About the Role

* 2+ years of experience in analytics, data science, or a related quantitative field.
 * Bachelor's degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related discipline; advanced degree is a plus.
 * Strong technical skills in SQL and either Python or R, with experience working with large datasets and building efficient analytical solutions.
 * Solid foundation in descriptive and inferential statistics, including hypothesis testing, experimentation, and basic modeling techniques.
 * Demonstrated ability to break down complex, unstructured problems into clear analytical approaches and actionable business insights.
 * Strong communication and collaboration skills, with the ability to explain complex analyses in simple, compelling terms to a range of stakeholders.

## Description

We are hiring a Data Science Analyst to partner closely with the eBay Advertising Product team. In this role, you will transform large, complex datasets into actionable insights, scalable reporting, and self-service analytics tools that support faster, better decision-making across multiple stakeholders. You will lead business performance deep-dives, identify product growth opportunities, and influence strategy through rigorous, data-informed recommendations. This is a high-impact role for someone who enjoys solving ambiguous problems, collaborating cross-functionally, and driving measurable business outcomes.

What you will accomplish:

 * Partner with product and business stakeholders to answer high-priority business questions, shape priorities, and deliver insights that inform advertising strategy and product decisions.
 * Build, maintain, and improve scalable reporting and self-service analytics solutions that enable teams to make faster, more effective decisions.
 * Analyze large and complex datasets to identify trends, opportunities, and risks that improve business performance and support Ads product growth.
 * Apply structured, hypothesis-driven problem solving to ambiguous challenges, translating quantitative and qualitative findings into clear, actionable recommendations.
 * Conduct performance deep-dives and experimentation analyses, including A/B testing, to evaluate initiatives and guide future investment decisions.
 * Help evolve the team's analytics frameworks, measurement approaches, and data solutions to improve insight generation, decision quality, and innovation.


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