Head of Data Analytics - Remote

Overview

A leading consumer wellness app with tens of millions of users is hiring a Head of Data Analytics to own and evolve the company’s data function across product, growth, marketing, and executive decision-making.

In Short

• Own the data analytics function across platform, people, roadmap, and strategy.
• Partner with Product, Growth, Marketing, and executive leadership to turn data into clear business decisions.
• Manage and develop a small team of data scientists / analysts while remaining hands-on where needed.
• Own core consumer and subscription metrics, including installs, trials, trial-to-paid conversion, retention, churn, LTV, CAC, ROAS, and renewal behavior.
• Support experimentation across onboarding, pricing, content, growth, and product experiences.
• Lead product analytics strategy, including event taxonomy, instrumentation, funnel analysis, cohort analysis, retention curves, and feature adoption.
• Partner with growth and marketing teams on attribution, UA measurement, paid acquisition analytics, and campaign performance.
• Help improve the company’s data platform, dashboards, semantic layer, and self-service analytics capabilities.
• Identify opportunities to use AI/LLM tools for reporting, anomaly detection, natural-language querying, automation, and internal workflow improvements.

Requirements

• 6+ years of experience in data analytics, product analytics, growth analytics, or a closely related function.
• Experience leading or managing a small team, ideally in a player-coach capacity.
• Strong consumer product analytics experience; mobile app experience is highly preferred.
• Deep understanding of subscription metrics, funnel optimization, cohort analysis, trial conversion, LTV, churn, retention, CAC, ROAS, and experimentation.
• Experience supporting Product, Marketing, Growth, and/or executive stakeholders.
• Strong SQL skills and comfort working with modern analytics/data tools such as BigQuery, dbt, Python, Mixpanel, Amplitude, Firebase, Tableau, Looker, AppsFlyer, Adjust, or similar platforms.
• Experience with mobile attribution, MMPs, SKAN, paid acquisition analytics, or multi-touch attribution is a major plus.
• Ability to communicate clearly and persuasively with executives, product leaders, marketers, engineers, and data teams.
• Comfort operating in a fast-moving, lean environment where priorities can shift quickly.
• Practical interest in AI tools and automation.

Benefits

• Lead analytics for a beloved consumer wellness product with a massive user base and strong brand recognition.
• Direct access to Product, Marketing, and executive leadership.
• Manage a small but capable team.
• Shape how data drives the next phase of growth.
• Opportunity to work in a fast-paced startup environment backed by a stable public healthcare company.