Product Analytics Team Lead

HEY THEREYou've spent the last few years as the analyst sitting alongside a mobile squad-close to the tracking, the experiments and the numbers behind their decisions.
You've also been leading a small team as well for a while now, and you don't want to give up either half.Good, because this role doesn't ask you to.
You'll lead our squad analysts, and you'll also be the hands-on analyst for Monetization.
Roughly half your week in each role, at least at the start.
Stepping up to lead here doesn't mean handing the interesting work to someone else.You'll be building solid data products, helping our Monetization team optimize conversion and revenue, but you'll also be responsible for ensuring that our product and engineering teams own the quality of the data they produce.
Building this culture is a big part of what we're hiring for.Let's shape the future of nutrition together and make Yazio the most successful nutrition app worldwide
This role is 100% remote and open to candidates based in Germany, Spain, Portugal or the UK.YOUR MISSIONOur product generates billions of data points every month, and our development teams run hundreds of experiments a year.
In your first year, you'll:Lead a small team of analysts embedded in our product squads.
They're the ones measuring the impact of what engineering builds and helping figure out what comes nextBe the analyst for Monetization yourself.
You'll handle tracking for new features, the experiments behind our conversion funnels and the reporting the squad runs onSet the example for how the work gets done.
You'll write less production code than the analysts in your team, and the way you solve problems is what they'll pick upSet the data quality bar: what gets tested when data comes in, what gets tested once it's transformed, what gets tested in the reporting layer and what anomaly detection catches before a stakeholder spots itMove that responsibility upstream to the teams producing the data.
Expect pushback from people who haven't had to think about it beforeOwn the path from raw event data to curated, ready-to-use datasets in our self-service BI toolTake on the strategy side of squad analytics: how PMs and engineering managers use data when they make decisionsYOUR PROFILEYou'll feel at home here if:You've been the analyst inside a mobile product squad.
Event tracking, funnel and user journey analysis, experiments.
You plan around release cycles and handle old app versions as a matter of courseYou've managed analysts without stepping away from the work yourselfExperimentation is where you're strongest.
You've run plenty of A/B tests, and you can talk through bandits, quasi-experiments and where Bayesian and frequentist approaches part waysYou've built a data quality regime.
You've held a number back because it didn't reconcile, then gone and fixed whatever let it throughYou write SQL all day and Python when you need it, and dbt is how you transform dataWhen you take an analysis to a PM, it comes with what you'd do next.
And when a number turns out to be wrong, you say so and change the process that produced itBonus points forExperience with subscription businesses, including the mobile gateway SDKs (App Store, Google Play)A strong statistics backgroundDagster or Airflow for schedulingData catalogues like DataHubOUR CORE TECH STACKHere's what we run in production:Warehouse: SnowflakeTransformation & orchestration: dbt, DagsterExperimentation: GrowthBookSelf-service analytics: OmniML workflows: PrefectGenAI: ClaudeIf you've worked with a cloud warehouse, dbt and an experimentation platform in some form, the patterns