Senior Business Intelligence Data Analyst

Company Description 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 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 billion requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Senior Business Intelligence Data Analyst you will drive decision making across the Business through complex dataset analysis and developing insights to support the next-generation trading platform. 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. In this role you will support the wider team through guiding best practices and mentoring team members. The salary range for this position is $100,000-$130,000 annually. Qualifications Advanced degree in Information Science, Statistics, Mathematics, Economics or similar field of study. Experience with Google Cloud, BigQuery, and Looker Core, including advanced LookML. development, data modeling, and the creation of governed, self-service analytics environments. Advanced proficiency in Python and SQL languages is essential. Proven experience delivering effective solutions through quantitative research, using multiple data sources. Self-motivated to research and deliver change within the department. Demonstrated experience to in data analysis, interpretation, and presentation to guide decision making and problem solving. Excellent communication skills with staff throughout the operation including key stakeholders and senior management. Experience mentoring and guiding junior team members. Additional Information Collecting, processing, and analyzing large datasets using various tools and techniques. Developing and maintaining dashboards and other data products. Instilling accurate and effective reporting channels. Presenting research and analysis in a clear and concise manner to a variety of stakeholders and levels. Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions. Guide and mentor team members on analytical methodologies and best practices. 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. Workplace Type: Onsite Department: Trading (Colorado) Full Time/Part Time: Full Time Shift Pattern: Days Job Type: Standard Compensation: USD 100000 - USD 130000 - yearly