Head of Data Analytics (Consumer Mobile App) – Remote at Glint Tech Solutions LLC

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Oct, 26

Salary

250000.0

Posted On

21 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Analytics, SQL, A/B Testing, Cohort Analysis, Conversion Funnel Optimization, Subscription Metrics, Mobile Attribution, People Management, Data Storytelling, Python, BigQuery, dbt, Mixpanel, Amplitude, AI/LLM Tools, Executive Stakeholder Management

Industry

IT Services and IT Consulting

Description

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.

Responsibilities

Lead the end-to-end product analytics strategy for a large-scale consumer mobile health application. Partner with executive leadership to drive business decisions through user behavior analysis and subscription metric optimization.