Senior Data Analyst

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

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 opportunities for growth, 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 customers worldwide.

As a Senior Data Analyst, you will be a key technical expert within the team, responsible for tackling our most complex analytical challenges.

The Data Team empowers business functions by transforming vast and complex datasets into clear, actionable insights. We enable strategic and tactical decision-making through expert reporting, deep-dive analysis, and compelling data visualisation.

You will translate intricate business questions into analytical projects, deliver actionable insights to senior stakeholders through self-service dashboards, and mentor other analysts to elevate the team's capabilities.

Working in a collaborative, globally distributed environment, partnering closely with data teams to decipher complex data and build compelling narratives that drive business value. The ideal candidate is results-driven, proactive, and highly effective at transforming datasets into actionable insights that inspire decision-making at every level.

The listed salary for this position is $120,000-$150,000 annually.

• Experience working in an agile, startup-type business, demonstrating adaptability and a bias for action.
• Proven ability to set technical direction and standards, including making technical solution decisions, evaluating products, running proofs of concept, and educating technical team members.
• Ability to coach and mentor less senior team members in both technical and analytic domains.
• Strong advocacy for self-service analytics, empowering business teams with the tools and data needed to become more data-driven and agile.
• Excellent problem-solving skills with a knack for quickly identifying gaps and finding, curating, and presenting the right data to help business teams exceed their goals.
• Hands-on experience with Google BigQuery (data lake and data warehouse) and SQL.
• Excellent knowledge and skills with data visualisation tools such as Power BI and Looker.
• Demonstrated interest and experience in leveraging AI to accelerate solution delivery, as well as building AI-driven solutions for business teams.
• Comfortable working at the intersection of data engineering, data warehousing, and data visualisation, with a primary focus on storytelling and presentation.
• Strong understanding of core data concepts, including data lakes and data warehouses, with the ability to bridge technical and business domains.

• Producing clear, transparent, accurate, and secure solutions with a strong emphasis on speed and data security.
• Automating data processes to streamline workflows and minimize manual interventions.
• Collaborating with global and cross-functional teams, ensuring effective communication and seamless project execution.
• Transforming data into compelling stories and visualisations that inform and empower stakeholders.
• Uphold rigorous standards for data quality, integrity, and security throughout all phases of project delivery.
• Identifying opportunities to improve analytical processes and implement best practices for scalable, sustainable solutions.

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.