Head of Data Analytics

Role Description

We are looking for an experienced Head of Data Analytics to lead our analytics function and help shape the future of our product. This is a high-impact leadership opportunity for someone who enjoys partnering with executives, driving business strategy through data, and remaining hands-on with analytics.

• Own the end-to-end product analytics strategy for a large-scale consumer mobile application.
• Partner closely with Product, Engineering, Marketing, and Executive Leadership to drive key business decisions.
• Analyze user behavior across the customer lifecycle, including onboarding, activation, engagement, retention, and monetization.
• Develop dashboards, reporting frameworks, and actionable insights that influence product roadmap and business strategy.
• Lead experimentation efforts, A/B testing, cohort analysis, and conversion funnel optimization.
• Define and monitor key subscription metrics including trial conversion, trial-to-paid conversion, renewal rates, LTV, retention, and user segmentation.
• Work with mobile user acquisition teams to evaluate attribution performance across AppsFlyer, Adjust, SKAdNetwork (SKAN), and other measurement platforms.
• Leverage AI/LLM tools to improve analytics workflows and business insights.
• Lead and mentor a small team while remaining hands-on with SQL and data analysis.

Qualifications

• 6+ years of experience in Product/Data Analytics for consumer software products.
• 2+ years of experience working on B2C mobile applications.
• 2–5 years of direct people management experience in a player-coach capacity.
• Proven experience owning product analytics, including:
  • Conversion funnels
  • Feature adoption
  • User segmentation
  • Retention analysis
  • Cohort analysis
  • Experimentation / A-B testing
• Deep understanding of subscription business metrics:
  • Trial conversion
  • Trial-to-paid conversion
  • Lifetime Value (LTV)
  • Renewal and retention metrics
• Strong proficiency with SQL and experience using modern analytics tools such as BigQuery, dbt, Mixpanel, Amplitude, and Python.
• Experience with mobile attribution platforms such as AppsFlyer, Adjust, or similar MMPs, including SKAN.
• Practical experience using AI/LLM tools to improve analytics or business processes.
• Excellent communication skills with the ability to translate complex analyses into clear business recommendations for executive stakeholders.
• Experience working in a fast-paced startup or high-growth environment.

Ideal Candidate

• Strategic thinker with strong business acumen and executive presence.
• Comfortable influencing senior leadership through data storytelling.
• Hands-on analytical leader who enjoys both individual contribution and people management.
• Consulting or strategy background is a plus.
• Passionate about consumer products and creating data-driven customer experiences.

Preferred Background

• Candidates with experience from consumer mobile apps, digital subscriptions, health & wellness apps, fitness apps, fintech consumer products, streaming platforms, or other high-growth B2C software companies are highly encouraged to apply.