Entain is one of the world's largest sports betting and gaming groups, operating both online and in the retail sector. With offices across five continents and licences in more than 20 countries, we operate some of the most well-known and iconic brands in the industry with more than 250 years of combined history - names such as Ladbrokes, partypoker, bwin and Coral..
This Data Analytics role is high profile with a large degree of independency and growth potential. You will be sitting with our Compliance team and be responsible for covering full end to end analytics: from BAU daily reporting, through generating insights and recommendations, some degree of predictive analytics, working with third party suppliers and mining external data sources.
If you are proactive, data driven, confident and ready to explore new ways to apply analytics in compliance and risk prevention then this will be the perfect role for you.
Day to day responsibilities:
- work on analysis in domain areas such as, but not limited to, Affordability, Problem gambling, Credit card usage, Source of Funds.
- Deployment and roll out of analytical solutions developed with the Central BI team
- While the initial analysis and solutions will be focused on the UK the role will be encouraged to transfer them across to other Markets outside of the UK
- You will be a huge part in providing the business team with ad-hoc, or regular reporting to support ongoing operations and work with developers to operationalize and fully automate any accepted piece of analysis
- You will build prototype reports and use control groups and confidence testing to deliver new cause and effect insights
The Essentials:
- Experience in data departments within highly regulated markets (banking credit risk, insurance actuary, pricing, financial fraud) or gaming.
- Experience of investigating and manipulating large complex databases (preferably using SQL) and or Python.
- Experience in working with standard analytical toolset: data extraction, analysis and statistical modelling software