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Tier-1-backed Bangalore leadership role with strong brand and metro competition, though seniority narrows the pool.
High because role demands SaaS subscription analytics, modern data stack, and AI-native analytics expertise.
High due to explicit 12+ years, 3+ years leadership, SaaS metrics and modern data stack requirements.
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Own and define the company-wide analytics strategy, including metrics framework, KPIs, and reporting for leadership and key teams.
Build, lead, and scale the analytics team ensuring data rigor, speed, self-service enablement, and serve as the single source of truth for critical business metrics (e.g., revenue, retention, conversion, unit economics).
Architect and govern the modern data stack, establish A/B testing discipline, deploy AI-native analytics tools to automate reporting, and deliver strategic insights for high-stakes decisions.
12+ years in analytics or data science with 3+ years leading/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, usage-based billing.
Advanced SQL skills and strong command of modern data stack technologies (BigQuery or equivalent, dbt, product analytics tools, BI platforms).
Work Experience Required: 12+ years in analytics/data science; 3+ years in leadership roles. Notice period: Not explicitly mentioned in the JD.
Experienced leader who has built or scaled analytics functions from scratch or hypergrowth environments, capable of stakeholder management and fostering metric governance.
Practitioner of AI-native analytics workflows integrating agentic tools as core infrastructure to increase team output and efficiency.
Hypothesis-driven, executive communicator comfortable operating in ambiguous, evolving data environments with experience in experimentation and advanced analytics frameworks.