AI Analyst - Business Analytics and Product Intelligence

The Role:
We're looking for an AI Analyst who can own the full analytics lifecycle at a fast-scaling vibe coding platform, from raw data exploration to production dashboards to strategic recommendations. This isn't a traditional analyst role. You'll use AI tools (Claude, MCP integrations, agentic workflows) as force multipliers to automate repetitive work, accelerate hypothesis testing, and ship insights at startup speed. You'll sit at the intersection of product, growth, and finance, investigating conversion funnels one hour, building cohort retention models the next, and stress-testing a pricing change by end of day.

What You'll Do:

• Own subscription and product analytics end-to-end: conversion funnels, cohort retention, churn analysis, LTV modeling, and revenue tracking
• Build and maintain production dashboards and alerting systems that the team relies on daily for business-critical metrics
• Conduct deep exploratory analysis on user behavior, identifying engagement patterns, diagnosing drop-offs, and quantifying the impact of product and pricing changes
• Write highly optimized SQL against a modern data stack (BigQuery, PostgreSQL), including complex CTEs, window functions, and cross-database joins
• Maintain and evolve the company's analytics knowledge base, documenting schemas, metric definitions, and known data quality issues so the team can self-serve
• Partner with product and engineering to define experiments, validate A/B tests, and ensure proper attribution across channels
• Use AI tooling (Claude, MCP servers, agentic pipelines) to automate data exploration, query generation, anomaly detection, and reporting, treating AI as a core part of your workflow, not an afterthought

Who You Are:

• 5+ years of strong SQL proficiency, you think in CTEs and window functions, you understand partitioning tradeoffs, and you instinctively validate results against multiple sources before drawing conclusions
• Experience with subscription/SaaS metrics: MRR, churn, cohort analysis, conversion funnels, and usage-based billing
• A hypothesis-driven mindset, you don't just pull numbers, you form a thesis, test it iteratively, and revise when the data disagrees
• Comfort with messy, evolving data infrastructure, you can navigate pipeline delays, schema inconsistencies, and incomplete data without getting stuck
• Familiarity with product analytics tools (PostHog, Mixpanel, Amplitude, or similar) and concepts like identity stitching and multi-touch attribution
• Experience building dashboards and visualizations that non-technical stakeholders actually use
• Eagerness to use AI assistants and agentic tools as part of your daily workflow, automating boilerplate, generating initial analyses, and iterating faster than a purely manual approach allows
• Strong async communication skills, you can document findings, flag issues, and propose next steps clearly enough that teammates can act without a follow-up meeting

Nice to Have:

• Experience with BigQuery, Redash, or similar BI tooling
• Familiarity with Python or dbt for data transformation
• Exposure to event-driven data models and behavioral analytics
• Comfort working directly with engineering teams on data pipeline issues
• Prior work at an early-stage startup where you built the analytics layer from scratch

Benefits and Perks:

1. Daily Meals: Lunch and Dinner provided
2. Family Insurance: 5 Lakhs worth of coverage for you and your family
3. Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
4. Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.