Data Analyst

At FDJ UNITED, we don't just follow the game, we reinvent it.

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?

 

 

Legal & Compliance Analytics is part of the wider Automation and Insights team with 150+ analysts, data scientists and data engineers. We are looking to recruit a data analyst who will help ensure that our players are playing sustainably and in a safe environment. Legal and Compliance Analytics supports insight driven decisions across Compliance and Customer Service initiatives, detecting early signs of problematic gambling and optimising the effectiveness of our responsible gambling tools and processes.

Our team works on solutions designed to solve problems in the areas of Anti-Money Laundering, Fraud Detection and Responsible Gambling. Your work will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and increased ability to detect and prevent harmful gambling.

 

 

 

What you will do:

• Work with stakeholders to understand business challenges and translate them into actionable insights

• Develop PowerBI reports and dashboards to assist Compliance and Governance teams on their daily activities

• Perform ad-hoc data extraction, manipulation and analysis, translating findings into actionable insights

• Produce materials summarising your analysis and present compelling narratives to stakeholders.

• Reconcile data when data integrity issues are found.

• Evaluate the impact of proposed policy and procedural changes, shaping the future of responsible gaming

• Exhibit curiosity and an inquisitive mindset by not stopping at the questions asked and going beyond when findings appear questionable.

• Continuously improve on your technical and soft skills. 

Your experience:

• Practical experience of completing data projects using SQL in an industry setting; at least 3-4 years' experience of working in analytical role.

• Advanced SQL skills for data extraction, transformation and analysis

• Experience exploring and analysing structured and unstructured data; presenting findings with effective data visualisation.

• Building and maintaining PowerBI or Tableau reports; creating and maintaining clear documentation on key metrics, data sources and business logic

• Knowledge of Python or R is advantageous but not mandatory

• Knowledge of statistical modelling techniques such as logistic regression, clustering, linear regression, decision trees etc is a plus.

• Knowledge of Fraud Prevention, Anti-Money Laundering or Responsible Gambling is not necessary but advantageous.

• Degree preferred in Mathematics, Statistics, Computer Science, or other Science related disciplines.

Additional Qualities

• Inquisitive, resilient, and reliable

• Strong problem-solving skills

• Detail-oriented and self-disciplined

• Experience working independently and as a member of a cross-functional team 

• Ability to anticipate work needs, to identify issues proactively and to recommend solutions

 

 

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.