Data Analyst

We’re one of the world’s leading online gambling companies, revolutionizing the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. 

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide.

Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

As a Data Analyst, you will turn complex data into clear insight that supports better decisions across our business.

Within our AI and Automation department, the Data Team transforms large and complex datasets into practical reporting, clear insights and visual stories that support both operational and strategic decisions.

This role focuses on building dashboards, responding to analytical requests and turning business questions into structured analysis. Working with teams across the business, the role combines data handling, visualization and storytelling to help make complex information easier to understand and act on.

The listed salary for this position is $90,000-$120,000 annually.

• Strong hands-on experience with SQL and Google BigQuery.
• Experience building dashboards in Power BI and Looker.
• Good understanding of data lakes, data warehouses and core data concepts.
• Ability to turn complex data into clear insight for business stakeholders.
• Confidence working with large datasets and spotting patterns or trends.
• Experience supporting self-service analytics and improving access to data.
• Skilled at creating visualizations that make information easier to interpret.
• Experience working across data, engineering or business teams.
• Strong problem-solving skills with a practical, detail-focused approach.
• Interest in using AI to support and improve analytical delivery.

• Building clear dashboards and reports that support decision-making across the business.
• Turning business questions into structured analysis and useful insight.
• Working with large datasets to identify patterns, trends and opportunities.
• Creating visualizations and summaries that make data easier to understand.
• Automating data tasks where possible to reduce manual effort.
• Partnering with colleagues across teams to deliver analysis effectively.
• Supporting the improvement of reporting, processes and analytical methods.
• Maintaining accurate, secure and high-quality outputs throughout delivery.
• Contributing to self-service analytics by making data more accessible.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.