🎯 Your mission
We're looking for a top-class Product Data Analyst to join our Payments & Compliance Tribe. You will transform data into insights that drive product decisions and improve user experiences. You will be responsible for analyzing user behavior, identifying trends, evaluating the impact of product changes, and supporting data-driven decision-making across product teams. This role requires analytical rigor, effective communication, and a deep understanding of product data.
👩🏽💻 What you’ll be doing
- Design and implement event tracking to capture user interactions and behavior within the product.
- Analyze user data to identify trends, patterns, and opportunities for optimization.
- Design and implement experiments to measure the impact of product changes on key metrics.
- Build and maintain dashboards to track product performance and KPIs.
- Collaborate with cross-functional teams including product managers, engineers, and designers to drive data-informed decision-making.
- Work closely with data engineers and analytics engineers to co-create data products
- Conduct funnel analysis to understand user flows and identify points of friction.
- Measure and analyze the impact of product initiatives on different markets.
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Translate data insights into actionable recommendations for product improvement and feature development.
🦄 Our Ideal "Player"
- Bachelor's degree in Mathematics, Data Science, Statistics, Economics, or Computer Science.
- Minimum 2 years of experience in data analytics or a similar role. More than 1 year of working experience in product analytics. Ideally in a Payments, Finance or Fraud Prevention.
- Strong SQL knowledge and experience working with relational databases.
- Knowledge of data visualization tools such as Looker, Tableau, or Power BI.
- Basic knowledge of programming languages like Python or R.
- Understanding of experimentation (A/B Testing, Multivariate Testing).
- Familiarity with event-based analytics tools like Mixpanel or Amplitude.
- Basic understanding of machine learning and data engineering concepts.
- Good communication and presentation skills and the ability to work independently and as part of a cross-functional team.
🚀 Extra points:
- Past experience working with data coming from Payments providers like Stripe or Checkout.
- Cloud computing working experience such as AWS Redshift, or Google Big Query.
- Basic knowledge of dbt, airflow, or other data pipeline tools.
- Experience with predictive modeling (MMM, Forecasting, NN).
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Living in Madrid or Barcelona, Spain.
🤝 What’s in it for you
- Gross salary according to experience
- 23 days of vacation + day off on your birthday + 2 days off for Wellness days in August.
- Social benefits (63 € a month in one of these: health insurance/tickets restaurant), flexible salary in training and kindergarten.
- Gympass discounts in several plans that include gyms, personal classes, access to free apps of wellbeing, nutrition etc.
- Annual budget for training
- 100% remote work.
- English and Spanish classes, and more coming!
- Work in an international environment with people from different countries.
🗓️ Our hiring process
Last, and for you to start warming up, we want to show you what our process looks like:
- People Interview - First contact and cultural fit in Playtomic
- Technical Interview - with our Product Analytics Manager
- Stakeholders Interview - with a PM and Head of Data.
- Final Cultural Interview with our Product Lead.
🎾 About PLAYTOMIC
We 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.
Since 2017, Playtomic has earned the trust of national and international investors, consolidating it as one of the main world players in sports digitalization. You will find +150 co-workers around the world with headquarters in Spain and offices in Madrid, Italy, Portugal, Sweden, Finland, Belgium, the UK, EEUU, and Mexico.
Take a look at our candidate playbook!
