[Remote] Head of Data Analytics

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.ResponsibilitiesOwn the architecture and reliability of the UA data pipeline — BigQuery, dbt, Jenkins, AppsFlyer/SKAN attribution, and our downstream dashboards and Mixpanel warehouse syncDrive the migration of remaining Python transformation scripts into dbt; establish CI/CD, testing standards, and dev/prod environment hygienePartner with engineering on the ingestion layer (ad platform APIs, Firebase, custom subscription backend webhooks) and upstream data qualityEvaluate and introduce new tooling when it's clearly the right call; default to keeping the stack simpleOwn the definitions, logic, and reliability of our core metrics: installs, trials, trial-to-paid, RPP, ROAS, CAC, LTV, churnLead our attribution methodology — MMP (AppsFlyer), SKAN 4, SSOT deduplication — and translate it clearly to the UA and executive teamsSupport our experimentation program: help PMs and the UA team design tests, validate results, and build statistical muscle across the orgExperience 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 leverageOwn product analytics instrumentation strategy in partnership with engineering — event taxonomy, Mixpanel governance, Firebase event schemaTranslate product analytics into actionable insight for PMs: retention curves, funnel analysis, feature adoption, onboarding optimizationEnsure the product team can answer their own questions without always needing the data team in the loopManage and develop two data scientists; make hiring decisions around expansion of the team as neededPartner closely with the UA Manager, Growth PM, and Head of Product as the data team's primary business-facing contactSet sprint cadence, manage the data backlog, and keep the team focused on high-leverage workDrive data governance and data semantic layer development; make our visualization platform more usable for non-technical stakeholdersHelp the organization identify and automate high-friction internal workflows using AI — this is a company-wide priority with executive sponsorshipChampion a culture of practical AI adoption on the data team and beyondSkills7+ years in data/analytics roles, with at least 2 years managing a data teamHands-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 breakDeep understanding of subscription and mobile app metrics: trial conversion, trial-to-paid modeling, LTV, renewal rates, cohort analysisExperience with mobile UA attribution — MMP (AppsFlyer, Adjust, or similar), SKAN, multi-touch — and the real-world messiness of cross-platform reportingComfort with BigQuery (or another cloud data warehouse) as the analytical backboneStrong instincts for data modeling: you think in facts and dimensions, you care about grain, and you can explain why a join is producing duplicate rowsProduct analytics experience: you've owned event instrumentation, built Mixpanel or Amplitude governance frameworks, and partnered with product teams to translate raw events into insightBusiness 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 oneProduct mindset: you think about data as a product that serves internal users, not just a function that answers requestsPractical 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 themBackground 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 similarDeep experience with attribution frameworks and data modelingBenefitsCompetitive salary & compensationExcellent health, dental, and vision coverageRetirement plan with employer matchingCommuter & lunch benefits (UberEats)Free access to telehealth & BetterHelp servicesAny hardware/software you need to succeedA product loved by millions — and admired by the pressAwesome people to work withThe chance to help people live a better life, every dayPerformance bonusExtensive benefitsCompany OverviewAt 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.