Apply to Head of Data Analytics - (Remote (U.S.) 1812

Head of Data Analytics - 1812


Location: Remote (United States)
Employment Type: Direct Hire - Full-Time
Compensation: $180K-$250K - based on experience + equity
Residency Requirements: US Citizens and all other parties authorized to work in the US are encouraged to apply.

 

About the Role

We're seeking a Head of Data Analytics to lead product analytics for a rapidly growing consumer mobile application. This is a highly strategic, hands-on leadership role for someone who can transform data into actionable business insights while partnering closely with executive leadership.

You'll lead a small analytics team as a player-coach, driving product decisions through deep analytical expertise, storytelling, and business strategy. This role is ideal for someone who enjoys balancing hands-on analysis with leadership and cross-functional influence.

Backed by Teladoc, the company offers the speed and innovation of a high-growth startup with the stability and benefits of a publicly traded organization.

What You'll Do

• Lead the company's Product Analytics function and help shape strategic business decisions through data.
• Partner with executive leadership, Product, Engineering, Marketing, and Growth teams to identify opportunities and drive measurable business outcomes.
• Own product analytics across the customer lifecycle, including onboarding, conversion funnels, retention, engagement, and monetization.
• Build executive-ready dashboards, reports, and presentations that communicate complex data through clear, compelling narratives.
• Develop insights around user behavior, subscription performance, and product adoption.
• Lead a small analytics team while remaining actively involved in hands-on analysis.
• Establish best practices for analytics, experimentation, and KPI measurement.
• Leverage AI and modern analytics tools to improve reporting, decision-making, and operational efficiency.
• Serve as a trusted thought partner to executive leadership on business strategy and product performance.

Required Qualifications

• 6+ years of experience in Product or Consumer Data Analytics.
• 2+ years working with B2C mobile applications.
• 2–5 years of direct people management experience.
• Experience leading analytics within a fast-paced, venture-backed startup or rapidly growing technology company.
• Strong business acumen with the ability to influence executive decision-making.
• Experience owning product analytics across:
  • Conversion funnels
  • Feature adoption
  • User engagement
  • Retention
  • Customer segmentation
• Excellent communication and executive presentation skills.

Technical Qualifications

Candidates should have experience with many of the following:

Analytics Platforms & Technologies

• SQL
• Python
• dbt
• BigQuery
• Mixpanel
• Amplitude

Mobile Growth Analytics

• Trial conversion optimization
• Trial-to-paid modeling
• Customer Lifetime Value (LTV)
• Renewal and subscription metrics
• Cohort analysis
• Feature adoption analysis

Mobile Marketing Attribution

• AppsFlyer
• Adjust
• SKAdNetwork (SKAN)
• Multi-touch attribution (MTA)

AI Tools

• Practical experience using AI and Large Language Model (LLM) tools to improve workflows and analytics.

What We're Looking For

The ideal candidate combines strong analytical expertise with exceptional business judgment and executive communication skills.

Successful candidates will demonstrate:

• Ability to clearly communicate complex analytical findings to executive audiences.
• Strong strategic thinking with a consultative approach to problem-solving.
• Player-coach leadership style with a willingness to remain hands-on.
• Passion for consumer products and user behavior.
• Strong curiosity and data-driven decision-making.
• Ability to influence cross-functional teams without direct authority.
• Clear, concise communication and executive presence.

Preferred Background

• Consumer mobile applications.
• Subscription-based products.
• Consumer marketing and onboarding optimization.
• Startup or high-growth technology companies.
• Consulting or strategic business backgrounds.

Candidates Unlikely to Be a Fit

The following backgrounds generally do not align with this opportunity:

• Data Engineers or Data Scientists whose primary focus is infrastructure or model development.
• Analytics professionals focused exclusively on B2B SaaS or e-commerce products.
• Vice President-level leaders or candidates accustomed to managing large organizations.
• Candidates seeking highly strategic leadership roles without hands-on analytical responsibilities.