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 Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business.
The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues.
Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products.
This is an exciting opportunity for aspiring data scientists to gain hands-on experience and apply their skills to implement impactful solutions.
The salary range for this position is $65,000-$75,000 annually.
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.