Head of Data Analytics – Consumer Mobile App

Data AnalystData AnalystFull TimeRemoteLeadTeam 51-200Since 1984H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

9 days ago

Salary

$200K - $250K / year

Seniority

Lead

Bachelor Degree6 yrs expEnglishBigQueryPythonSQL

Job Description

Head of Data Analytics – Consumer Mobile App

GTS Technology Solutions

• 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.

Job Requirements

  • 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.

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