AI Analyst - Business Analytics and Product Intelligence

Overview

AI Analyst role owning subscription and product analytics end-to-end, from data exploration to production dashboards and strategic recommendations.

What you'll do

• Own subscription and product analytics including conversion funnels, cohort retention, churn analysis, LTV modeling, and revenue tracking.
• Build and maintain production dashboards and alerting systems for business-critical metrics.
• Run exploratory analysis on user behavior to identify engagement patterns, diagnose drop-offs, and measure impact of product/pricing changes.
• Write optimized SQL on a modern data stack (BigQuery, PostgreSQL) using CTEs, window functions, and cross-database joins.
• Maintain an analytics knowledge base by documenting schemas, metric definitions, and data quality issues.
• Partner with product and engineering on experiments and A/B test validation with proper attribution.
• Use AI tooling (Claude, MCP servers, agentic workflows) for automating exploration, query generation, anomaly detection, and reporting.

What you'll need

• 5+ years of strong SQL proficiency with CTEs and window functions.
• Experience with SaaS/subscription metrics including MRR, churn, cohort analysis, conversion funnels, and usage-based billing.
• A hypothesis-driven approach to iteratively test and revise conclusions.
• Comfort working with messy, evolving data infrastructure (pipeline delays, schema inconsistencies, incomplete data).
• Familiarity with product analytics tools such as PostHog, Mixpanel, Amplitude, or similar plus identity stitching and multi-touch attribution concepts.
• Experience building dashboards and visualizations for non-technical stakeholders.
• Eagerness to use AI assistants and agentic tools as part of daily workflow.
• Strong async communication skills to document findings and propose next steps.

Details

• Location: Bangalore.