Data Analyst — Markets

About this AI-Augmented Data Analyst role at Zerodha

Zerodha, India's leading fintech platform, is looking for a Data Analyst for Markets in Bengaluru — a mid-level role perfect for analytics professionals ready to deepen their skill in high-frequency trading data and AI-driven decision making. You'll work on real-time market datasets, build statistical models, and use AI tools to unlock insights that drive trading strategies and platform improvements.

What you'll do

• Analyze market data using SQL and Python to uncover trading patterns and platform performance metrics
• Build statistical models and dashboards that inform trading and product decisions
• Use AI tools for rapid data exploration, code generation, and productivity across your analytics workflow
• Collaborate with trading, engineering, and product teams to translate data into actionable insights
• Maintain data quality and develop robust pipelines for fintech market datasets

Who should apply

This is a mid-level Data Analyst role in markets and fintech. You'll need 2–5 years of proven analytics experience (ideally in fintech or markets), strong SQL and Python skills, and comfort using AI tools for research and coding. You don't need trading expertise — Zerodha trains that — but you do need the technical foundation and hunger to learn fast in a high-velocity environment.

Salary & offer in context

Zerodha offers ₹15–30 LPA (₹1.25–2.5 lakh/month) for this role, positioning it competitively in the mid-level Data Analyst salary range in India. For context, AI-augmented data analyst salaries in India typically range ₹12–28 LPA depending on experience and fintech domain expertise; Zerodha's offer reflects the high bar for markets-focused analytics roles.

Path to apply

Apply directly through Zerodha's careers portal — no entrance exam required. This is a direct application process for private-sector fintech hiring. The application deadline is 7 June 2026, so move quickly if you meet the eligibility criteria. Have your portfolio of SQL queries, Python analysis, and any AI tool usage examples ready to showcase.