Head of Data Analytics – Consumer Mobile App

GTS Technology Solutions

Head of Data Analytics overseeing the analytics function and shaping product direction for a leading consumer health application. Driving strategy using data and analytics with a hands-on approach.

Posted 7/21/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product analytics for consumer mobile applications, focusing on user behavior analysis, subscription metrics, and data-driven decision-making. Proficient in SQL and modern analytics tools, with a strong ability to lead teams and communicate insights effectively to stakeholders.

Highest-signal resume keywords

Product Analytics OwnershipSQL ProficiencyA/B Testing and ExperimentationSubscription Business MetricsTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product AnalyticsUser SegmentationCohort AnalysisRetention AnalysisConversion Funnel OptimizationSQLPythonData AnalysisDashboard DevelopmentReporting Frameworks

Soft Skills

Excellent CommunicationStakeholder Management

Tools & Technologies

BigQueryDbtMixpanelAmplitudeAppsFlyerAdjustSKAdNetworkAI/LLM Tools

Industry Keywords

B2C Mobile ApplicationsConsumer Software ProductsTrial ConversionLifetime Value (LTV)Renewal RatesUser AcquisitionHigh-Growth Environment

Tech Stack

Tools & technologies

BigQueryPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account GTS Technology Solutions Website LinkedIn All Job Openings 51 - 200 employees Founded 1984 🤖 Artificial Intelligence 🛍️ eCommerce IT Consulting
Artificial Intelligence
eCommerce GTS Technology Solutions is an IT consulting company specializing in helping businesses leverage technology to achieve their goals. Their team of experts provides a wide array of services, including IT strategy consulting, software development, data analytics, cloud solutions, and digital transformation. They focus on utilizing advanced technologies such as machine learning and AI to help clients optimize operations, drive growth, and enhance productivity in the digital age. Head of Data Analytics – Consumer Mobile App Job not on LinkedIn 🔥 1 hour ago 🏄 California – Remote 💵 $200k - $250k / year ⏰ Full Time 🔴 Lead 📉 Data Analyst Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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. 🎯 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.
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