Senior Analytics Engineer
By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com
The Role - Senior Analytics Engineer
We are hiring a Senior Analytics Engineer on our Enterprise Technology team to own and scale the semantic and presentation layers of our data platform. This is a hands-on individual contributor role focused on building high-quality, scalable data models and defining standardized metrics across the business. You will sit at the intersection of data analytics and business stakeholders, ensuring our data is structured for both performance and usability. You will directly influence how data is consumed across Product, Commercial, Finance, and Operations, enabling consistent, self-service analytics at scale. This role is expected to elevate data from a reporting function to a core business enabler and revenue driver. You will design data models, metrics, and analytics capabilities that directly influence commercial outcomes, product performance, and operational efficiency.
- Design and maintain core data models and metrics used across the business
- Establish a single, standardized layer of business logic for reporting and analytics
- Ensure consistency in KPI definitions across teams
- Develop and optimize models in dbt (or equivalent) on top of Snowflake
- Structure data for performance, reusability, and clarity
- Partner across the business to improve pipeline efficiency and reliability
- Create intuitive, well-documented datasets that reduce reliance on analysts
- Improve adoption of BI tools (Sigma, or similar)
- Enable business users to explore data confidently without duplication of logic
- Standardize metric definitions and governance across domains
- Contribute to data modeling best practices and design standards
- Support the evolution toward AI-enabled analytics and semantic layer exposure
- Partner with Product, Commercial, and Finance teams to define metrics that directly influence revenue, margin, and customer outcomes
- Translate business strategy into measurable data models and KPIs that inform pricing, performance, and growth decisions
- Identify opportunities where improved data modeling and analytics can unlock new revenue streams or optimize existing ones
- Ensure analytics outputs are actionable, not just descriptive, with clear linkage to business decisions
- Drive best practices in SQL, modeling, and BI design
- Partner with stakeholders to align on definitions, priorities, and data strategy
- 6+ years in analytics engineering, BI engineering, or data engineering
- Experience working in a modern cloud data stack (Snowflake preferred)
- Demonstrable experience of, and technical proficiency in, some or most of DBT Cloud, Databricks, Snowflake, Gitlab, Fivetran.
- Strong experience with BI tools (Sigma etc.)
- Deep understanding of: Dimensional modeling, Semantic layer design, Data warehousing best practices (Snowflake)
- Demonstrable experience extracting data from APIs to surface to raw layers in data warehouses
- Ability to translate business questions into clean, reusable data models
- Experience defining and governing business-critical metrics
- Focus on performance, usability, and long-term scalability
- Strong stakeholder management across technical and business teams
- Proven ability to drive adoption of self-service analytics
- Ownership mindset with a bias toward simplification and standardization
- The salary for this role is based on an annualized salary range of $165,000 – 180,000.
- This role will also be eligible to take part in Genius Sports Group's benefits plan.
- Our benefits include health insurance, skills training and much more, depending on the location.
- We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.
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.
