Analytics Leader

Emergent
Bengaluru
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 12+ yearsSkills: ["Leadership","Executive communication","Hypothesis-driven thinking","Comfort with ambiguity","Stakeholder management"]

Own the analytics strategy end-to-end for an AI platform, defining the metrics framework and north-star KPIs used across product, growth, finance, and leadership. Lead and scale a player-coach analytics team, deliver revenue and subscription analytics (MRR, churn, LTV/CAC, funnels), govern the modern data stack, and establish experimentation and trustworthy dashboards. Build AI-native analytics workflows using tools like Claude and agentic pipelines to automate exploration, anomaly detection, and reporting.

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FursaFursa
Emergent
Emergent
1 day ago

Analytics Leader

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Own the analytics strategy end-to-end for an AI platform, defining the metrics framework and north-star KPIs used across product, growth, finance, and leadership. Lead and scale a player-coach analytics team, deliver revenue and subscription analytics (MRR, churn, LTV/CAC, funnels), govern the modern data stack, and establish experimentation and trustworthy dashboards. Build AI-native analytics workflows using tools like Claude and agentic pipelines to automate exploration, anomaly detection, and reporting.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Own company-wide analytics strategy: define metrics framework, north-star KPIs, and reporting cadence.
  • •Build, hire, and lead the analytics team while setting a bar for rigor, speed, and self-serve enablement.
  • •Own subscription and revenue analytics end-to-end (MRR, churn, cohort retention, LTV/CAC, conversion funnels, usage-based billing).
  • •Architect and govern the modern data stack with engineering on data quality, schema design, and pipeline reliability.
  • •Champion experimentation and deliver strategic analysis and daily dashboards, evolving analytics knowledge for self-serve use.

Pay and Benefits

Perks:Meal AllowanceFamily InsurancePaid LeaveFlexible Hours

Key Requirements

  • •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 including MRR, churn, cohort retention, LTV modeling, conversion funnels, and usage-based billing.
  • •Elite SQL proficiency (CTEs, window functions) and strong result validation across multiple sources.
  • •Proven track record building analytics functions from scratch or through hypergrowth, including hiring, tooling, metric governance, and stakeholder trust.
  • •Strong command of the modern data stack (e.g., BigQuery/warehouses, dbt, product analytics tools like PostHog/Mixpanel/Amplitude) and experimentation (A/B testing, attribution).
Experience:12+ yearsB2CSaaSPLGAI-native analyticsDeveloper toolsAIEarly-stage startups
Skills:LeadershipExecutive communicationHypothesis-driven thinkingComfort with ambiguityStakeholder management
Languages:English
Tech Stack:BigQueryPostgreSQLSQLDbtPostHogMixpanelAmplitudeA/B testingCTEsWindow functionsEvent pipelinesBI platformsClaudeMCPAgentic pipelinesAttribution

Company Brief

Emergent
Provides a platform for orchestrating autonomous AI agents and workflows, enabling teams to build, deploy, monitor, and scale agent-driven applications and automations across business processes.
Industry: AI & Machine Learning
Growth: Early Stage Startup
Website