Data Science Analyst

About the role

Ebay Advertising is a key area of growth within the company, focusing on enhancing the ecommerce experience through innovative advertising solutions. We are seeking a Data Science Analyst to join our team. The ideal candidate will partner with product and business stakeholders to drive insights that inform strategy and product decisions. They will also build, maintain, and improve scalable reporting and self-service analytics solutions to support faster, more effective decision-making.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• Experience with large-scale data analysis and machine learning techniques.
• Knowledge of data visualization tools and platforms.
• Experience with data warehousing and ETL processes.
• Understanding of statistical modeling and predictive analytics.
• Experience with data storytelling and presenting findings to non-technical audiences.

Skills

• Proficiency in SQL and Python/R for data manipulation and analysis.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Experience with data warehousing technologies such as Snowflake, Redshift, or BigQuery.
• Experience with statistical software packages such as SPSS, SAS, or Python/R libraries.
• Experience with cloud-based data processing services like AWS Glue, Azure Data Factory, or Google Cloud Dataflow.

Benefits

We offer a competitive compensation package, including a comprehensive benefits program that includes health insurance, retirement savings options, and paid time off. We are committed to fostering a diverse and inclusive workplace where everyone can thrive and contribute to our mission of connecting people and building communities to create economic opportunity for all.

Pay

The applicable base pay range for this position is dependent on work location. The base pay range in the San Francisco Bay Area, New York City Metro, and Seattle Metro is expected in the range below: $108,800 - $145,200. The base pay range for all other U.S. work locations is expected in the range below: $70,000 - $125,000. Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.

Schedule

This is a full-time position with standard business hours.