Senior Business Intelligence Data Analyst

Posted Yesterday
Denver, CO, USA
In-Office
100K-130K Annually
Senior level
Digital Media • Gaming • Software • Esports • Automation
We’re a leading online gambling brand, offering an unmatched experience across sports and streaming events worldwide.
The Role
Drive data-driven decision making for the Trading team by analyzing large datasets, building dashboards and data products, developing governed analytics (Looker/LookML), and presenting insights to stakeholders. Mentor junior analysts, implement reporting structures, and collaborate cross-functionally to propose data-driven solutions for the next-generation trading platform.
Summary Generated by Built In
Company Description

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.

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.

Skills Required

  • Advanced degree in Information Science, Statistics, Mathematics, Economics or similar field of study.
  • Experience with Google Cloud, BigQuery, Looker Core, advanced LookML, data modeling, and creating governed self-service analytics environments.
  • Advanced proficiency in Python and SQL.
  • Proven experience delivering solutions through quantitative research using multiple data sources.
  • Self-motivated to research and deliver change within the department.
  • Demonstrated experience in data analysis, interpretation, and presentation to guide decision making and problem solving.
  • Excellent communication skills with stakeholders and senior management.
  • Experience mentoring and guiding junior team members.

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The Company
HQ: Denver, Colorado
10,000 Employees
Year Founded: 2000

What We Do

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.

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