Head of Data

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🕒 Maio 28

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BetterSleep by Ipnos

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2011

🧘 Bem-estar

👥 B2C

Wellness • B2C

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Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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