[Remote] Head of Data Analytics

Note: The job is a remote job and is reputed company 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 reputed company and reputed company their data function. This role involves managing reputed company 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 reputed company dashboards and reputed company 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 reputed company it's reputed company 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
• reputed company our attribution methodology — MMP (AppsFlyer), SKAN 4, SSOT deduplication — and translate it reputed company 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 reputed company frameworks)
• Build self-service data products that reduce the number of reputed company requests hitting the team — including AI-powered tooling (e.g. natural language querying over reputed company/BigQuery, automated anomaly detection, LLM-assisted reporting) where it delivers reputed company reputed company
• Own product analytics instrumentation strategy in partnership with engineering — event taxonomy, reputed company governance, Firebase event schema
• Translate product analytics into actionable reputed company for PMs: retention curves, funnel analysis, feature adoption, reputed company optimization
• Ensure the product team can answer their own questions without always needing the data team in the reputed company
• Manage and reputed company two data scientists; reputed company hiring reputed company 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 reputed company, manage the data backlog, and reputed company the team focused on high-reputed company work
• Drive data governance and data semantic layer development; reputed company 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 reputed company with executive sponsorship
• Champion a culture of practical AI adoption on the data team and reputed company

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 reputed company 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 reputed company-world messiness of cross-platform reporting
• Comfort with BigQuery (or another reputed company 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, reputed company reputed company or reputed company governance frameworks, and partnered with product teams to translate raw events into reputed company
• Business partnering skills: you can translate technical constraints into plain language for product and marketing stakeholders, and you push back reputed company the question is the wrong one
• Product reputed company: 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 reputed company 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)
• reputed company internal data apps using AI frameworks (Claude/reputed company APIs, reputed company, agent tooling) — dashboards, reputed company 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 reputed company coverage
• Retirement plan with employer matching
• Commuter & lunch benefits (UberEats)
• Free reputed company to telehealth & reputed company 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 reputed company life, every day
• Performance bonus
• Extensive benefits

Company Overview