ppWe're looking for a Mid Product Data Analyst to join our Players tribe. You will own the analytics for a product domain end-to-end: from governing the tracking that captures user behaviour, to running the analyses that shape what gets built next. You will partner closely with product managers, engineers, and designers to make sure every key decision is grounded in data, not intuition. /p h3What you’ll be doing /h3 ul liDesign and implement event tracking to capture user interactions and behaviour within your product domain. /li liGovern tracking quality in your domain: validate that events are firing correctly, maintain the Gold Standard event set, and keep tracking debt under control. /li liUse AI tools (Claude, Cursor) to accelerate your analytical work; validate AI‑assisted output for accuracy and business context before it influences decisions. /li liAnalyze user funnel drop‑offs to identify root causes of friction and lost conversions. /li liEvaluate A/B test results to assess the impact of product changes, and make sound recommendations even when results are inconclusive. /li liBuild and maintain dashboards to track product performance and KPIs across your domain. /li liWork closely with data engineers and analytics engineers to co‑create reliable data products and pipelines. /li liRun structured analyses across multiple data sources to surface trends and product opportunities. /li liCollaborate with product managers, engineers, and designers to embed data in every product decision. /li liTranslate insights into clear, actionable recommendations for product improvement and feature development. /li /ul h3Our idóneo player /h3 ul liBachelor's degree in Mathematics, Data Science, Statistics, Economics, or Computer Science, or related fields. /li liMinimum 2 years of experience in data analytics or a similar role, ideally with more than 1 year in product analytics.



/li liStrong SQL knowledge and experience working with relational databases. /li liKnowledge of data visualization tools such as Looker, Tableau, or Power BI. /li liUnderstanding of experimentation (A/B testing, multivariate testing). /li liFamiliarity with event‑based analytics tools like Mixpanel or Amplitude. /li liBasic understanding of machine learning and data engineering concepts. /li liBasic knowledge of programming languages like Python or R. /li liGood communication and presentation skills, and the ability to work independently and as part of a cross‑functional team. /li /ul h3Extra points /h3 ul liExperience using AI tools (Claude, Cursor, ChatGPT, or similar) in a data or analytics workflow, including building prototypes. /li liExperience in a marketplace. /li liCloud data warehouse experience (Google BigQuery, AWS Redshift, or similar). /li liKnowledge of dbt or other data pipeline tools. /li liExperience with predictive modeling (forecasting, MMM, neural networks). /li liBased in Madrid or Barcelona, Spain. /li /ul h3Our hiring process /h3 ul liPeople Interview – First contact and cultural fit at Playtomic. /li liTechnical Interview – With our Product Analytics Manager. /li liStakeholders Interview – With a PM and Head of Data. /li liFinal Cultural Interview – With our Product Lead. /li /ul h3About PLAYTOMIC /h3 pWe are the world's largest racket sports app for players and clubs. Our goal is to socialize sports practice: through the app, players can book courts, find other players with similar skill levels, and join a social community dedicated to playing. /p pSince 2017, Playtomic has earned the trust of national and international investors, consolidating its position as one of the main players in sports digitalization. You will find over 150 co‑workers around the world with headquarters in Spain and offices in Madrid, Italy, Portugal, Sweden, Finland, Belgium, the UK, USA, and Mexico. /p pTake a look at our candidate playbook! /p /p #J-18808-Ljbffr

📌 Mid Product Data Analyst (Madrid)
🏢 Playtomic
📍 Madrid