Head of Data Analytics (Remote)

Map Ssg

1d•Remote

About The Position

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. This is a hands-on leadership role for someone who can operate as a true player-coach: managing a small data team, partnering closely with Product and Marketing, and still getting close enough to the data to drive meaningful business insights. The company operates with the speed and autonomy of a startup, while backed by the stability of a large public healthcare organization. The product is already loved by millions globally, and the team is now expanding beyond content into a broader integrated care platform focused on sleep and wellness.

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.
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.

Nice To Haves

Experience with mobile attribution, MMPs, SKAN, paid acquisition analytics, or multi-touch attribution is a major plus.

Responsibilities

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.