Note: The job is a remote job and is open to candidates in USA. Glint Tech Solutions is building one of the world's leading consumer health applications, with over 85 million users globally. They are seeking an experienced Head of Data Analytics to lead their analytics function, drive business strategy through data, and partner with various teams to influence product decisions.
Responsibilities
- 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
Skills
- 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
- Experience from consumer mobile apps
- Experience from digital subscriptions
- Experience from health & wellness apps
- Experience from fitness apps
- Experience from fintech consumer products
- Experience from streaming platforms
- Experience from other high-growth B2C software companies
Benefits
- Competitive benefits
Company Overview