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eBay.com - Agentic Analytics Products Developer

eBay
6 - 10 Years
Bangalore

Posted on: 18/09/2026

Job Description

About the role :

Analytics is undergoing a fundamental shift, from traditional data science toward AI-driven analytics product development. As business intelligence evolves into intelligent, AI-powered tooling, we are looking for someone eager to help lead this transformation. This role sits at the intersection of analytics, product, and AI. You will play a key part in reimagining our Business Intelligence ecosystem as a suite of AI-native applications, stepping into the role of an AI Analytics Product Manager.

What you'll do :

- Design analytical experiences : build intuitive React interfaces for exploring data, comparing metrics, and visualizing trends and causal drivers.

- Integrate AI-assisted analysis : connect front-end workflows to agentic pipelines that query, aggregate, and explain.

- Develop insight APIs : design FastAPI endpoints that return summaries, charts, and AI-powered diagnostics ready for human review or automation.

- Evaluate analytical quality : define success metrics such as relevance and latency; run tests to improve model-driven insights.

- Ensure interpretability : surface the underlying queries, data sources, and assumptions behind each result so users can validate and trust insights.

- Collaborate widely : partner with data science, PMs, and analytics to define metrics, shape evaluation frameworks, and iterate on user feedback.

- Maintain excellence : write tests, monitor performance, and ensure each release improves speed, clarity, and analytical correctness.

Tech Stack & Skills :

- Experience building self-serve analytics or decision intelligence platforms.

- React for data visualization and interactive exploration.

- Analytical APIs (e.g. FastAPI), data validation, and async retrieval.

- SQL / data modeling for metrics computation, and time series analysis.

- LLM/agent analytics (prompt design, RAG, evaluation, grounding).

- Data storytelling & visualization fundamentals.

- Experience measuring insight quality via evals, A/B tests, or golden datasets.

- Excellent communication skills.

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