Analytics Leader

About the role

Emergent is an AI-native platform that builds autonomous coding agents to generate, test, and deploy production applications from plain-language intent. As the Analytics Leader, you will own the entire data and analytics function, defining the metrics framework, north-star KPIs, and reporting cadence used by leadership, product, growth, and finance. This player-coach role involves building and leading a high-performing analytics team while staying hands-on with SQL, experimentation, and AI-native tooling (Claude, MCP, agentic pipelines). The role is based in Bengaluru.

What you’ll do

• Own the company-wide analytics strategy: define the metrics framework, north-star KPIs, and reporting cadence used by leadership, product, growth, and finance
• Build, hire, and lead the analytics team, setting the bar for rigor, speed, and self-serve enablement across the company
• Own subscription and revenue analytics end-to-end: MRR, churn, cohort retention, LTV/CAC, conversion funnels, and usage-based billing models
• Architect and govern the modern data stack (BigQuery, PostgreSQL, event pipelines), partnering with engineering on data quality, schema design, and pipeline reliability
• Establish experimentation as a discipline: design the A/B testing framework, define statistical standards, and ensure proper attribution across channels
• Deliver strategic analysis for high-stakes decisions: pricing changes, market expansion, product bets, and fundraising narratives
• Build production dashboards and alerting systems that leadership relies on daily, and evolve the analytics knowledge base so teams can self-serve
• Champion AI-native analytics: deploy Claude, MCP servers, and agentic workflows to automate exploration, anomaly detection, query generation, and reporting at scale

What you’ll bring

• 12+ years in analytics or data science, with 3+ years leading and scaling analytics teams at high-growth B2C/SaaS or PLG companies
• Deep expertise in subscription and SaaS metrics: MRR, churn, cohort analysis, LTV modeling, conversion funnels, and usage-based billing
• Elite SQL proficiency: thinking in CTEs and window functions, understanding partitioning tradeoffs, and validating results against multiple sources
• Proven track record of building analytics functions from scratch or through hypergrowth: hiring, tooling, metric governance, and stakeholder trust
• Strong command of the modern data stack: BigQuery or similar warehouses, dbt, product analytics tools (PostHog, Mixpanel, Amplitude), and BI platforms
• Experimentation depth: designed and governed A/B testing programs with understanding of statistical rigor, identity stitching, and multi-touch attribution
• Executive-grade communication: able to land a data-backed recommendation in five minutes in a board meeting or leadership review
• Comfort with ambiguity and messy, evolving data infrastructure; ability to unblock self and team without waiting for perfect pipelines

Nice to have

• Experience at a developer tools, AI, or vibe coding platform
• Python fluency for statistical modeling and automation
• Prior ownership of finance-adjacent analytics: revenue recognition, forecasting, and unit economics for board reporting
• Experience partnering directly with engineering on event-driven data models and behavioral analytics
• Early-stage startup experience where you built the analytics layer from zero to scale

Skills

Benefits

• Daily Meals: Lunch and Dinner provided
• Family Insurance: 3 Lakhs worth of coverage for you and your family
• Unlimited Paid Time Off
• Flexible Working Hours

Education

IIT & IIM alumni