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.
This role is 100% remote and open to candidates based in Germany, Spain, Portugal or the UK.
YOUR MISSION Our product generates billions of data points every month, and our development teams run hundreds of experiments a year.
You'll write less production code than the analysts in your team, and the way you solve problems is what they'll pick up Set 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 it Move that responsibility upstream to the teams producing the data.
Expect pushback from people who haven't had to think about it before Own the path from raw event data to curated, ready-to-use datasets in our self-service BI tool Take on the strategy side of squad analytics:
how PMs and engineering managers use data when they make decisions YOUR PROFILE You'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've run plenty of A/B tests, and you can talk through bandits, quasi-experiments and where Bayesian and frequentist approaches part ways You've built a data quality regime.
You've held a number back because it didn't reconcile, then gone and fixed whatever let it through You write SQL all day and Python when you need it, and dbt is how you transform data When 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 it Bonus points for Experience with subscription businesses, including the mobile gateway SDKs (App Store, Google Play) A strong statistics background Dagster or Airflow for scheduling Data cata
📌 Lead Product Manager (España)
🏢 YAZIO
📍 España