Data Science Manager-Commercial
Super Technologies is seeking a Data Science Manager to lead the analytical function that helps its commercial teams understand what's working, why, and what to do next. The role involves owning the insights agenda end to end, and what is created will shape strategies across markets and influence decisions at the highest level.
Super Technologies requires a leader with an insight-first mindset, who digs into why things happen and provides a clear point of view on what the business should do. The role also champions experimentation, treating A/B testing and causal inference as standard practice, and builds scalable frameworks for these. Commercial acumen is essential, understanding how analytics connects to business outcomes and translating complex findings into recommendations for senior stakeholders. Talent development is also key, building high-performing analyst teams, setting clear objectives, managing delivery, and creating space for growth.
- 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.
- 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.
- 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.
- 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.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science or a related quantitative field (required)
- 8+ years' experience in analytics or insights, including at least 2 years in a people management role (required)
- Strong SQL skills, with the ability to independently extract, manipulate and analyse large datasets (required)
- Proven experience using data to influence commercial strategy and presenting findings to senior stakeholders (required)
- Hands-on experience designing and analysing A/B tests and applying causal or statistical methods (required)
- Experience developing KPI frameworks and standardising reporting across business areas or markets (required)
- Demonstrated ability to translate complex analytical findings into clear recommendations for non-technical audiences (required)
- Master's degree in a quantitative field (nice-to-have)
- Familiarity with Tableau or similar BI tools (nice-to-have)
- Experience in the betting, gaming or iGaming industry (nice-to-have)
- Proficiency in Python or R for analytical work (nice-to-have)
- Experience with Snowflake or modern data stack tools (nice-to-have)
- Familiarity with AI/ML techniques and their practical business applications (nice-to-have)
Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.
