Head of Data Analytics (Consumer Mobile App) – Remote

About the Company

We are building one of the world's leading consumer health applications, with over 85 million users globally. Backed by the stability of a publicly traded parent company while operating with the speed and autonomy of a startup, we're 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.

Location

• Remote (United States)

Compensation

• $200,000 – $250,000 base salary + competitive benefits
• Visa sponsorship is not preferred due to hiring timeline

What You'll Do

• 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.

Required 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.

Originally posted on Himalayas