Manager, Data Science

The Networker; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

eBay is seeking a Manager, Data Science - Analytics 1 for the Indian Analytics Centre to act as a strategic analytics partner for C2C Local and adjacent product areas. You will structure ambiguous questions into analytical plans, perform hands-on analysis with SQL, and translate insights into clear actions for senior stakeholders.

You will build dashboards, partner across product, engineering, and design teams, and lead measurement for product tests while driving data-informed decisions in a

Qualifications

• Bachelor's or master's in Statistics, Economics, Mathematics, CS, Engineering, or a quantitative field.
• Strong storytelling ability with the ability to translate analyses into clear narratives.
• Advanced SQL skills and experience with large, complex datasets.
• Exposure to A/B testing and causal inference methods.
• Ability to create intuitive dashboards and data visualizations for stakeholders.
• Experience in product analytics, including funnel analysis and segmentation.
• Excellent critical thinking and problem-solving skills.
• Ability to work in a fast-moving environment and convert questions into actionable insights.
• Strong written and verbal communication for senior stakeholder engagement.
• AI-first mindset and interest in AI-enabled productivity tools.

Responsibilities

• Own strategic and product analytics for C2C Local and related customer journeys.
• Translate leadership questions into structured analytical plans and actionable recommendations.
• Use SQL to evaluate user behavior, product performance, and marketplace outcomes.
• Create persuasive narratives linking data, product trade-offs, and business impact.
• Collaborate with product, engineering, design, and operations to align priorities.
• Lead measurement and learning for product tests and launches with defined metrics.
• Develop scalable dashboards and self-service analytical assets.
• Identify emerging opportunities and influence the product roadmap with evidence.
• Ensure clear metric definitions and robust data validation across analyses.

Skills

Storytelling

SQL proficiency

A/B testing

Dashboards

Product analytics

Critical thinking

Communication

Ownership

Multitasking

AI mindset

Education

Bachelor's or Master's in a quantitative field

Tools

Python

Mixpanel

Amplitude

Job description

Job Summary

At eBay, were 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. Were 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

The Consumer-to-Consumer (C2C) team focuses on making selling and buying locally simpler, more relevant, and more trusted. The team works across search and discovery, local marketplace experiences, payments, and messaging to identify customer problems, shape product strategy, and improve marketplace outcomes.

As Manager, Data Science - Analytics 1 in the Indian Analytics Centre, you will be a strategic analytics partner for the C2C Local, M2M and adjacent product areas. You will operate in a highly dynamic environment, take broad or ambiguous business questions, structure them into answerable analytical problems, and convert complex findings into compelling narratives and clear actions. The role combines advanced hands-on analytics with strong influence over collaborators. It requires someone who is dedicated, proactive, outgoing, and comfortable crafting clarity when the path is not predefined.

What you will accomplish

• 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 unclear.
• 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.
• Improve analytical quality by establishing clear metric definitions, validating data, documenting assumptions, and ensuring that conclusions are methodologically sound and decision-ready.

Required qualifications

• Bachelors or Masters degree (or equivalent practical experience) in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.
• Strong storytelling ability, with a demonstrated track record of turning complex analysis into simple, compelling narratives and clear recommendations for varied audiences.
• Advanced hands-on SQL skills and experience analysing large, complex, and imperfect datasets with a high degree of accuracy and analytical rigour.
• 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 strong 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 the ability to challenge assumptions, identify the real question behind an ask, and distinguish signal from noise.
• Ability to thrive in an unstructured, fast-moving environment and independently convert ambiguous or broad questions into practical analytical approaches and actionable insights.
• Excellent written and verbal communication skills, with the confidence to engage, influence, and align senior stakeholders and cross-functional partners.
• Self-driven, proactive, and outgoing working style, with a strong sense of ownership and a willingness to initiate conversations, surface risks, and move work forward without waiting for detailed direction.
• Ability to manage multiple priorities while maintaining high standards for data quality, methodology, and delivery.
• An AI-first mindset and interest in using AI-enabled tools to improve analytical productivity, synthesis, and decision-making.

Good 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.

Additional Details

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. We will make every effort to respond to any accommodation requests as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.