AI Analyst (Business Analytics and Product Intelligence)

Location: Bangalore, India

Company

hirify.global builds autonomous coding agents that generate, test, and deploy production applications from plain-language intent. Its systems operate at global scale and support millions of real applications.

What you will do

• Own subscription and product analytics, including conversion funnels, cohort retention, churn, LTV modeling, and revenue tracking.
• Build and maintain production dashboards and alerting systems for business-critical metrics.
• Analyze user behavior, engagement patterns, product drop-offs, and the impact of product and pricing changes.
• Write optimized SQL using BigQuery and PostgreSQL, including complex CTEs, window functions, and cross-database joins.
• Partner with product and engineering on experiments, A/B tests, attribution, and data pipeline issues.
• Use Claude, MCP integrations, and agentic workflows to automate exploration, query generation, anomaly detection, and reporting.

Requirements

• 5+ years of strong SQL experience, including CTEs, window functions, partitioning trade-offs, and multi-source validation.
• Experience with subscription and SaaS metrics such as MRR, churn, cohort analysis, conversion funnels, and usage-based billing.
• Ability to investigate hypotheses, work with evolving data infrastructure, and handle pipeline delays, schema inconsistencies, and incomplete data.
• Familiarity with PostHog, Mixpanel, Amplitude, or similar product analytics tools, including identity stitching and multi-touch attribution.
• Experience building dashboards and visualizations for non-technical stakeholders.
• Strong async communication skills and willingness to use AI assistants and agentic tools in daily analytics work.

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.
• Experience working directly with engineering teams on data pipeline issues.
• Prior experience building an analytics layer at an early-stage startup.

Culture & Benefits

• Lunch and dinner provided daily.
• Family insurance coverage worth 3 lakhs.
• Unlimited paid time off.
• Flexible working hours.
• Ownership, speed, and impact in a fast-scaling environment.