Data Science Manager-Commercial at Super Technologies – Spain | Jobyssey

We 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.

At Super, data isn't a support function — 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. As Data Science Manager, you'll lead the analytical function that helps our commercial teams understand what's working, why, and what to do next. You'll own the insights agenda end to end, and what you create will shape strategies across markets and influence decisions at the highest level.

What sets you apart

Insight-First Mindset: You don't stop at describing what happened — you dig into why, and you come with a clear point of view on what the business should do about it
Experimentation Champion: You treat A/B testing and causal inference as standard practice rather than a nice-to-have, and you build the frameworks that make this scalable across the organisation
Commercial Acumen: You understand how analytics connects to business outcomes and can translate complex findings into recommendations that stick with senior stakeholders
Talent Developer: You build high-performing analyst teams, setting clear objectives, managing delivery and creating space for growth

What the role involves

Analytics & Insight Delivery

Partner with commercial teams to define business strategies grounded in data, analysing complex datasets to detect trends, identify opportunities and surface insights that help business leaders improve their strategies
Develop metrics frameworks and insight communications that standardise reporting, define KPIs across markets and inform market priorities, initiative planning and performance reviews

Experimentation & Advanced Analytics

Design and own the experimentation framework, using A/B testing and causal inference to ensure key business decisions are backed by rigorous evidence
Apply advanced analytical concepts and AI tools to design the right solution for a given business problem — not just the most obvious one — scaling analytical output and embedding smarter ways of working across teams

Cross-Functional Collaboration

Collaborate with central Data Engineering, BI and Data Products teams to develop solutions that enable self-service analytics, increase data literacy and free analysts to focus on higher-impact problems
Act as the bridge between business requirements and data capabilities, implementing practical, reliable solutions or working cross-functionally to action them

Team Leadership & Development

Set clear and compelling objectives for the analytics and insights team you lead, drawing on your understanding of company strategy and the areas you support
Prioritise team workload, manage key deliverables and timelines and allocate resource efficiently, whilst promoting a culture of analytical rigour, curiosity and continuous improvement

What we are looking for

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science or a related quantitative field
8+ years' experience in analytics or insights, including 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 presenting 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

Nice to have

Master's degree in a quantitative field
Familiarity with Tableau or similar BI tools
Experience in the 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

About Super

We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.

Shaping the Future of Play

Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page:

Super 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).

At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

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