Data Analyst
Role Overview
Legal and Compliance Analytics is part of the Automation and Insights team, which includes more than 150 analysts, data scientists, and data engineers.
The Data Analyst will support sustainable and safe play through insight-driven decisions across Compliance and Customer Service initiatives.
The work covers anti-money laundering, fraud detection, responsible gambling, customer friction, and fraud-loss reduction.
Key Skills for This Role
Full Job Posting
About FDJ UNITED
FDJ UNITED is a European betting and gaming operator with more than 5,000 employees and operations in around fifteen regulated markets.
The group focuses on responsible entertainment, technological excellence, and safe customer experiences.
Role Overview
Legal and Compliance Analytics is part of the Automation and Insights team, which includes more than 150 analysts, data scientists, and data engineers.
The Data Analyst will support sustainable and safe play through insight-driven decisions across Compliance and Customer Service initiatives.
The work covers anti-money laundering, fraud detection, responsible gambling, customer friction, and fraud-loss reduction.
What You Will Do
- Translate stakeholder business challenges into actionable insights.
- Develop Power BI reports and dashboards for Compliance and Governance teams.
- Extract, manipulate, analyse, and reconcile data, including when data integrity issues are found.
- Present analysis through clear materials and compelling narratives.
- Evaluate policy and procedural changes affecting responsible gaming.
- Investigate questionable findings and continuously improve technical and soft skills.
Experience and Skills
- At least 3-4 years of experience in an analytical role and practical experience delivering industry data projects with SQL.
- Advanced SQL skills for data extraction, transformation, and analysis.
- Experience with structured and unstructured data, data visualisation, and Power BI or Tableau reporting.
- Ability to document metrics, data sources, and business logic clearly.
- Python or R, statistical modelling, and knowledge of fraud prevention, anti-money laundering, or responsible gambling are advantageous.
- A degree in Mathematics, Statistics, Computer Science, or another science-related discipline is preferred.
- The role requires curiosity, resilience, reliability, problem-solving, attention to detail, self-discipline, and cross-functional collaboration.
Benefits
- Benefits include training and personal development, internal events, diversity and inclusion networks, employee support services, health insurance, volunteering opportunities, and a retirement savings plan.
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