Manager, Data Science - Analytics 1

About the role

At eBay, the Consumer-to-Consumer (C2C) team makes local selling and buying simpler, more relevant, and more trusted across search, discovery, payments, and messaging. As Manager, Data Science - Analytics 1 in the Indian Analytics Centre, you will be a strategic analytics partner for C2C Local, M2M, and adjacent product areas, turning broad business questions into structured analytical plans and compelling, action-oriented narratives. You will own strategic and product analytics, lead measurement for tests and launches, and partner with product, engineering, design, and operations to shape priorities and drive decisions. This hybrid role is based in Bengaluru, India.

What you’ll do

• Own strategic and product analytics for C2C Local and related customer journeys, including search ranking, local discovery, distance accuracy, marketplace flows, payments, and messaging experiences.
• Translate broad leadership and product questions into structured analytical plans, clear hypotheses, measurable success criteria, and actionable recommendations.
• Use advanced SQL and deep analytical rigour to evaluate customer behaviour, product performance, feature adoption, funnels, cohorts, and marketplace outcomes across complex datasets.
• Build persuasive, insight-led narratives that connect data, customer context, product trade-offs, and business impact for both working teams and senior stakeholders.
• Partner with product, engineering, design, operations, and peer analytics teams to shape priorities, align stakeholders, and drive decisions in areas where ownership or direction may initially be uncl
• Lead measurement and learning for product tests and launches, including defining metrics, developing dashboards, diagnosing performance, and recommending the next course of action.
• Create and maintain scalable dashboards, scorecards, and analytical assets that enable consistent performance tracking and self-service decision-making.
• Proactively identify emerging customer problems and business opportunities, move beyond the immediate ask, and influence the product roadmap through evidence-based insights.

What you’ll bring

• Bachelor's or Master's degree (or equivalent practical experience) in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.
• Advanced hands-on SQL skills with experience analysing large, complex, and imperfect datasets accurately and with analytical rigour.
• Strong storytelling ability with a demonstrated track record of turning complex analysis into simple, compelling narratives and clear recommendations for varied audiences.
• Exposure to A/B testing, causal inference, quasi-experimental methods, or structured test measurement.
• Ability to create intuitive, user-friendly dashboards and data visualisations using appropriate BI or analytics tools, with a focus on usability, clarity, and actionable insights.
• Experience in product analytics, including funnel analysis, customer journey analysis, feature adoption, segmentation, performance measurement, and insight generation.
• Excellent critical thinking and problem-solving skills, including challenging assumptions, identifying the real question behind an ask, and distinguishing signal from noise.
• Excellent written and verbal communication skills with the confidence to engage, influence, and align senior stakeholders and cross-functional partners.

Nice to have

• Experience contributing to product or business strategy and influencing roadmap decisions through data and customer insights.
• Working knowledge of Python for exploratory analysis, automation, or prototyping.
• Experience with product analytics platforms such as Mixpanel, Amplitude, or similar tools.
• Experience in e-commerce, online marketplaces, local commerce, search and discovery, payments, or consumer technology.

Skills

Education

Bachelor's or Master's degree (or equivalent practical experience) in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.