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# Data Science Manager

- **Company:** Postaladdress
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Big Data, Business Software, Information Engineering, Data Warehousing, Database Queries, Python (Programming Language), Machine Learning, Tableau (Software), Snowflake, Data Management
- **Published:** July 11, 2026
- **Apply:** https://www.jobleads.com/es/job/e2d5e4ccdd4ebbf301400ab788f5c2393

## About the Role

* Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
 * 8+ years of experience in analytics or insights, with at least 2 years in a people management role
 * Strong SQL skills, with the ability to independently extract, manipulate, and analyse large datasets
 * Proven experience using data to influence commercial strategy and present findings to senior stakeholders
 * Hands-on experience designing and analysing A/B tests and applying causal or statistical methods
 * Experience developing KPI frameworks and standardising reporting across business areas or markets
 * Demonstrated ability to translate complex analytical findings into clear recommendations for non-technical audiences, * Master's degree in a quantitative field
 * Familiarity with Tableau or similar BI tools
 * Experience in betting, gaming, or iGaming industry
 * Proficiency in Python or R for analytical work
 * Experience with Snowflake or modern data stack tools
 * Familiarity with AI/ML techniques and their practical business applications

## Description

Data isn't a support function at Super - it sits at the heart of every major decision we make, with our data insights team operating at the intersection of product, commercial, and marketing strategy. We're looking for a Data Science Manager to lead the analytical function that helps our commercial teams understand what's working, why, and what to do next, owning the insights agenda end-to-end - from defining KPIs and building metrics frameworks, to running experiments that test strategic bets, to developing a team that brings rigour and curiosity to everything they do.

What the role involves

Analytics & Insight Delivery

 * Partner with commercial teams and analyse complex datasets to shape data-driven strategies and surface actionable insights
 * Build metrics frameworks and standardise reporting to define KPIs across markets

Experimentation & Advanced Analytics

 * Design and own the experimentation framework, including A/B testing and causal inference, to ground key decisions in rigorous evidence
 * Apply advanced analytical techniques to identify the most effective solution for each business problem

Cross-Functional Collaboration

 * Collaborate with Data Engineering, BI, and Data Products teams to enable self-service analytics and free analysts to focus on higher-impact work
 * Act as the bridge between business requirements and data capabilities to deliver practical, reliable solutions

Team Leadership & Development

 * Set clear objectives for the analytics and insights team and manage delivery against them
 * Prioritise workload and foster a culture of analytical rigour and curiosity


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