Senior Data Analyst

About the role
We are seeking an eager and pragmatic Senior Data Analyst to join our fast-paced team in Denver
supporting the US Data Lead.
A ‘getting things done’ attitude is pivotal in this role, pairing speed with quality automation and
delivery. You will thrive 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.
Main Responsibilities:
• Excel in technical delivery by producing clear, transparent, accurate, and secure solutions with
a strong emphasis on speed and data security.
• Automate data processes to streamline workflows and minimize manual interventions.
• Collaborate with global and cross-functional teams, ensuring effective communication and
seamless project execution.
• Transform 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.
• Identify opportunities to improve analytical processes and implement best practices for
scalable, sustainable solutions.
The skills and experience to help you perform in the role:
• 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.
What We Offer:

About bet365
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.