Senior Data Analyst - Compliance & Responsible Gaming

Kindred (London) Limited

Greater London

On-site

GBP 45,000 - 70,000

Full time

2 days ago
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Job summary

FDJ UNITED, a leading betting and gaming operator, seeks a Data Analyst for Legal & Compliance Analytics. You will translate business challenges into actionable insights, build PowerBI dashboards for Compliance and Governance, and perform ad-hoc data extraction and analysis.

The role emphasizes data integrity, storytelling for stakeholders, and contributing to responsible gaming initiatives. A background in SQL, data visualization, and statistical methods is preferred; Python or R is a plus.

Qualifications

  • 3–4 years of experience in an analytical role.
  • Advanced SQL skills for data extraction, transformation and analysis.
  • Experience creating and maintaining PowerBI or Tableau dashboards and documentation.

Responsibilities

  • Translate business challenges into actionable insights with stakeholders.
  • Develop PowerBI dashboards to support Compliance and Governance teams.
  • Perform data extraction, manipulation and analysis; present findings clearly.
  • Summarise analyses and present compelling narratives to stakeholders.
  • Reconcile data integrity issues and evaluate policy changes affecting responsible gaming.
  • Continuously improve technical and soft skills and work with cross‑functional teams.

Skills

Analytical mindset
Stakeholder communication
SQL
PowerBI
Tableau
Python
R

Education

Degree in Mathematics/Statistics/CS

Tools

SQL
PowerBI
Tableau
Python
R

Job description

FDJ UNITED, a leading betting and gaming operator, seeks a Data Analyst for Legal & Compliance Analytics. You will translate business challenges into actionable insights, build PowerBI dashboards for Compliance and Governance, and perform ad-hoc data extraction and analysis.

The role emphasizes data integrity, storytelling for stakeholders, and contributing to responsible gaming initiatives. A background in SQL, data visualization, and statistical methods is preferred; Python or R is a plus.

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