Note: The job is a remote job and is open to candidates in USA. BetterSleep is one of the most downloaded sleep apps in the world, and they are seeking a Head of Data Analytics to lead and evolve their data function. This role involves managing a team of data scientists, overseeing the data infrastructure, and serving as a strategic partner to product and growth teams.
Responsibilities
- Own the architecture and reliability of the UA data pipeline — BigQuery, dbt, Jenkins, AppsFlyer/SKAN attribution, and our downstream dashboards and Mixpanel warehouse sync
- Drive the migration of remaining Python transformation scripts into dbt; establish CI/CD, testing standards, and dev/prod environment hygiene
- Partner with engineering on the ingestion layer (ad platform APIs, Firebase, custom subscription backend webhooks) and upstream data quality
- Evaluate and introduce new tooling when it's clearly the right call; default to keeping the stack simple
- Own the definitions, logic, and reliability of our core metrics: installs, trials, trial-to-paid, RPP, ROAS, CAC, LTV, churn
- Lead our attribution methodology — MMP (AppsFlyer), SKAN 4, SSOT deduplication — and translate it clearly to the UA and executive teams
- Support our experimentation program: help PMs and the UA team design tests, validate results, and build statistical muscle across the org
- Experience building or managing experimentation infrastructure (A/B testing platforms, statistical significance frameworks)
- Build self-service data products that reduce the number of ad hoc requests hitting the team — including AI-powered tooling (e.g. natural language querying over Mixpanel/BigQuery, automated anomaly detection, LLM-assisted reporting) where it delivers real leverage
- Own product analytics instrumentation strategy in partnership with engineering — event taxonomy, Mixpanel governance, Firebase event schema
- Translate product analytics into actionable insight for PMs: retention curves, funnel analysis, feature adoption, onboarding optimization
- Ensure the product team can answer their own questions without always needing the data team in the loop
- Manage and develop two data scientists; make hiring decisions around expansion of the team as needed
- Partner closely with the UA Manager, Growth PM, and Head of Product as the data team's primary business-facing contact
- Set sprint cadence, manage the data backlog, and keep the team focused on high-leverage work
- Drive data governance and data semantic layer development; make our visualization platform more usable for non-technical stakeholders
- Help the organization identify and automate high-friction internal workflows using AI — this is a company-wide priority with executive sponsorship
- Champion a culture of practical AI adoption on the data team and beyond
Skills
- 7+ years in data/analytics roles, with at least 2 years managing a data team
- Hands-on analytics engineering experience: you know dbt well, you're comfortable reviewing SQL models and data pipelines, and you can unblock your engineers when things break
- Deep understanding of subscription and mobile app metrics: trial conversion, trial-to-paid modeling, LTV, renewal rates, cohort analysis
- Experience with mobile UA attribution — MMP (AppsFlyer, Adjust, or similar), SKAN, multi-touch — and the real-world messiness of cross-platform reporting
- Comfort with BigQuery (or another cloud data warehouse) as the analytical backbone
- Strong instincts for data modeling: you think in facts and dimensions, you care about grain, and you can explain why a join is producing duplicate rows
- Product analytics experience: you've owned event instrumentation, built Mixpanel or Amplitude governance frameworks, and partnered with product teams to translate raw events into insight
- Business partnering skills: you can translate technical constraints into plain language for product and marketing stakeholders, and you push back when the question is the wrong one
- Product mindset: you think about data as a product that serves internal users, not just a function that answers requests
- Practical experience building with AI/LLM tools — not just using Copilot or ChatGPT for productivity, but actually designing and shipping AI-assisted workflows, internal analytics agents, or data apps that reduce manual work. You know what's possible with today's models and you're already finding ways to apply them
- Background in consumer subscription apps (health, wellness, entertainment, productivity)
- Built internal data apps using AI frameworks (Claude/OpenAI APIs, LangChain, agent tooling) — dashboards, Slack bots, automated anomaly alerts, natural language analytics interfaces, or similar
- Deep experience with attribution frameworks and data modeling
Benefits
- Competitive salary & compensation
- Excellent health, dental, and vision coverage
- Retirement plan with employer matching
- Commuter & lunch benefits (UberEats)
- Free access to telehealth & BetterHelp services
- Any hardware/software you need to succeed
- A product loved by millions — and admired by the press
- Awesome people to work with
- The chance to help people live a better life, every day
- Performance bonus
- Extensive benefits
Company Overview
At BetterSleep, we’re on a mission to transform the world through better sleep. It was founded in 2010, and is headquartered in Montréal, Quebec, CAN, with a workforce of 11-50 employees. Its website is https://www.ipnos.com.