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Product Analyst
Analytics Vidhya
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The Role
We are looking for a curious, data-obsessed Product Analyst who turns raw product data into sharp, continuous insights for our Ed-Tech platform. You will own core metrics, automate reporting, build dashboards, and partner with product, growth, and engineering — and use AI tools to move from question to answer to action faster than a traditional analytics team.
What You
'LL DO
- Analyze & uncover insights — dig into learner behavior, course performance, funnels, and engagement to surface patterns the team can act on.
- Own the metrics — define, track, and defend product KPIs; build the source of truth for activation, retention, conversion, and learning outcomes.
- Automate reporting — replace manual pulls with self-serve dashboards, scheduled reports, and alerting so the team gets answers, not tickets.
- Build dashboards — design clean, intuitive views in Metabase / Looker / Tableau / Power BI that non-analysts actually use.
- Monitor data pipelines — watch data quality, freshness, and integrity; flag anomalies and partner with engineering on fixes.
- AI-led analytics — use Claude, ChatGPT, Cursor, and Claude Code to draft SQL, accelerate exploration, generate scripts, and ship analyses end-to-end.
- Ask the next question — bring genuine curiosity — question numbers, challenge assumptions, and translate findings into clear, actionable narratives.
Must Have
- 1–4 years in analytics, product analytics, BI, or data science roles.
- Strong SQL and Python (pandas, NumPy) — comfortable wrangling messy product data and writing efficient queries at scale.
- Hands-on, daily use of AI tools for analytics — Claude, ChatGPT, Cursor, Claude Code — for SQL drafting, code generation, and faster output delivery.
- Experience with a BI tool (Metabase, Looker, Tableau, Power BI) and a product analytics platform (Mixpanel, Amplitude, GA4).
- Solid grounding in statistics, A/B testing, and experimentation — knowing when a result is real.
- Sharp written communication — distilling complex analyses into clean memos, charts, and recommendations.
- Bachelor's degree in a quantitative field; high agency, strong ownership, and a learning-by-shipping mindset.
Bonus Points
- Experience in Ed-Tech, data science, or marketplace / community products.
- Familiarity with dbt, Airflow, or modern data stack tooling for reliable pipelines.
- Built or maintained data quality / observability frameworks (Great Expectations, Monte Carlo, Soda, etc.).
Why Join US
Shape decisions on products used by millions of learners · high ownership with product & leadership · fast, learning-driven culture · competitive compensation and growth. Apply now and help turn data into the next big bet in AI-native learning