ppWe are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. /p h3Data Science Manager /h3 pData 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. /p h3What the role involves /h3 h3Analytics Insight Delivery /h3 ul liPartner with commercial teams and analyse complex datasets to shape data-driven strategies and surface actionable insights /li liBuild metrics frameworks and standardise reporting to define KPIs across markets /li /ul h3Experimentation Advanced Analytics /h3 ul liDesign and own the experimentation framework, including A/B testing and causal inference, to ground key decisions in rigorous evidence /li liApply advanced analytical techniques to identify the most effective solution for each business problem /li /ul h3Cross-Functional Collaboration /h3 ul liCollaborate with Data Engineering, BI,



and Data Products teams to enable self‑service analytics and free analysts to focus on higher-impact work /li liAct as the bridge between business requirements and data capabilities to deliver practical, reliable solutions /li liSet clear objectives for the analytics and insights team and manage delivery against them /li liPrioritise workload and foster a culture of analytical rigour and curiosity /li /ul h3What we are looking for /h3 ul liBachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field /li li8+ years of experience in analytics or insights, with at least 2 years in a people management role /li liStrong SQL skills, with the ability to independently extract, manipulate, and analyse large datasets /li liProven experience using data to influence commercial strategy and present findings to senior stakeholders /li liHands‑on experience designing and analysing A/B tests and applying causal or statistical methods /li liExperience developing KPI frameworks and standardising reporting across business areas or markets /li liDemonstrated ability to translate complex analytical findings into clear recommendations for non‑technical audiences /li /ul h3Nice to have /h3 ul liFamiliarity with Tableau or similar BI tools /li liExperience in betting, gaming, or iGaming industry /li liProficiency in Python or R for analytical work /li liExperience with Snowflake or modern data stack tools /li liFamiliarity with AI/ML techniques and their practical business applications /li /ul pWe hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance. /p pSuper is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming Betting Association (EGBA). /p /p #J-18808-Ljbffr

📌 Data Science Manager (España)
🏢 Super
📍 España