Data Business Partner - Operations
As a key member of the Enterprise Analytics function, Genius Sports is seeking a technical Data Partner for Operations to play a critical role in its data-driven success. This is a hands-on analytics engineering role for a talented technician who can combine deep technical expertise with strong business judgement.
The role involves working closely with Operations VPs to understand how the function operates, identify where better data can improve performance, and build the trusted data products needed to support decision-making, automation, and AI-enabled insights. The focus is on building clean, governed, and reusable data that allows Operations teams and analysts to make better decisions with confidence. Scalable datasets will be developed in dbt on Snowflake, the Operations semantic layer will be maintained, and trusted consumption will be enabled through Sigma, other BI workflows, and AI applications.
- Act as the trusted technical data partner to Operations VPs and senior leaders.
- Translate operational processes and business priorities into scalable data models, metrics, and datasets.
- Design, build, and maintain high-quality dbt models on Snowflake.
- Own and evolve the Operations semantic layer, ensuring metrics and business definitions are consistent, trusted, and AI-ready.
- Create intuitive, well-documented datasets for Reporting Analysts and operational users in Sigma.
- Improve data quality, reliability, performance and interoperability across domains.
- Review existing operational processes and recommend changes that improve data capture, measurement and automation.
- Identify high-value use cases where data can deliver measurable efficiency, cost, service or commercial benefits.
- Promote strong standards in SQL, dimensional modelling, testing, documentation and metric governance.
- Bring clear, informed opinions on analytics engineering, semantic layers and the future of AI-enabled analytics.
- Ability to understand complex business processes and translate them into practical technical solutions. (required)
- Confidence advising and constructively challenging senior stakeholders. (required)
- Strong experience in analytics engineering, BI engineering or data engineering. (required)
- Advanced SQL and data modelling capability. (required)
- Hands-on experience with dbt and Snowflake. (required)
- Experience designing semantic layers and governing business-critical metrics. (required)
- Experience with Sigma or a comparable BI platform. (required)
- A strong understanding of dimensional modelling, data warehousing, data quality and scalable data design. (required)
- Ability to explain critical data concepts clearly to non-technical audiences. (required)
- A strong ownership mindset, with a bias toward simplification, standardisation and measurable business impact. (required)
- The monthly salary for this full-time role ranges from €3,750 to €4,160 gross.
- Eligibility to take part in Genius Sports Group's benefits plan.
- Commitment to supporting employee wellbeing and helping you grow your skills, experience and career.
Genius Sports is a sports data and technology company that supplies official data, streaming, integrity and advertising services to sports leagues, sportsbooks and media companies. Founded in 2001 and headquartered in London, with a major office in New York and others worldwide, it is the official data partner of organisations including the NFL, English Premier League and FIBA. The company provides the technology that connects sports, betting and media businesses. Genius Sports is listed on the New York Stock Exchange.