Sr. Manager Analytics

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.

Location: eBay India Analytics Center (Bangalore)

Function: Global Analytics Team – Focus Categories (Fashion, Collectibles, Vehicles Parts & Accessories, Live Commerce)

eBay's India Analytics Center is a core part of the global analytics organization, with 75+ highly skilled business analysts, data scientists, and ML engineers supporting key functions across finance, category management, seller support, shipping and logistics, and monetization. We are now seeking a Senior Manager – Analytics to lead analytics and data science initiatives for our Focus Categories, which represent eBay's most strategic bets.

This leadership role is ideal for a seasoned analytics professional with deep technical expertise, strong business acumen, and proven experience in building and leading high-performing teams in a consumer internet environment.

• Leadership & Team Management

• Lead, mentor, and develop a team of 20+ business analysts and data scientists, fostering a culture of innovation, collaboration, and problem-solving.

• Drive adoption of best practices in analytics, experimentation, and machine learning deployment.

• Analytics & Data Science Delivery

• Design and deliver interactive dashboards, AI-driven data products, and predictive ML models to enable business-critical decision-making.

• Lead initiatives to predict customer behavior, including purchase patterns, CRM campaign responses, and churn/upsell/cross-sell potential.
• Oversee product analytics efforts, including experiment design, A/B testing, and statistical validation, to optimize customer experiences and business outcomes.

• Business Partnership & Stakeholder Management

• Act as the primary analytics partner to senior business leaders in Focus Categories (Fashion, Collectibles, Vehicle Parts & Accessories, Live Commerce).

• Translate complex data insights into actionable recommendations, influencing strategic decisions across category management and customer engagement.
• Represent the India Analytics Center to global stakeholders, building trust and credibility through impactful delivery.

• Innovation & Thought Leadership

• Champion the application of advanced ML modeling techniques to business challenges.

• Identify opportunities to leverage emerging technologies and tools in AI/ML for competitive advantage.
• Drive continuous improvement in analytics methodologies, data quality, and automation.

• Experience

• 12–15 years of progressive experience in data analytics and data science, with at least 5+ years in leadership roles.

• Proven track record of applying analytics in a consumer internet / e-commerce environment highly preferred.
• Strong people management experience, with demonstrated ability to lead and scale teams of 15+ professionals.

• Technical Expertise

• Hands-on background as an analyst/data scientist, with deep proficiency in SQL, R, Python, and standard ML libraries.

• Exposure to advanced ML techniques (predictive modeling, classification, clustering, recommendation engines, NLP).
• Expertise in product analytics: experimentation frameworks, A/B testing platforms, and causal inference techniques.
• Strong understanding of data visualization, BI tools, and dashboard design.
• Educational Background
• Degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Economics, or related field. Advanced degree (Master's/PhD) is a plus.

• Leadership & Soft Skills

• Excellent stakeholder management skills, with the ability to communicate complex analyses to non-technical audiences and influence at senior levels.

• Strong problem-solving mindset with a bias for action and an entrepreneurial spirit.
• Passion for leveraging AI and data science to solve high-impact business problems.

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