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 athttps://www.geniussports.com/ https://www.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.  What You Will Do  Own the Semantic & Presentation Layer  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  Build Scalable Data Models  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  Drive Self-Service Analytics  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  Define the BI & Metrics Strategy  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  Drive Business Impact Through Data  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  Mentorship & Influence  Drive best practices in SQL, modeling, and BI design  Partner with stakeholders to align on definitions, priorities, and data strategy    Qualifications  Experience  6+ years in analytics engineering, BI engineering, or data engineering  Experience working in a modern cloud data stack (Snowflake preferred)  Technical Skills  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  Data & Product Thinking  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  Execution & Influence  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    What Success Looks Like  A trusted, centralized semantic layer used across the company  Clear, consistent KPI definitions with no duplication or conflict  Increased self-service adoption across business teams  Reduced time to insight for Product, Commercial, and Operations  Scalable foundation for AI-driven analytics and reporting  Data is consistently used to drive revenue growth, margin improvement, and product performance decisions  Business stakeholders rely on the data platform to make decisions, not just monitor results  Analytics outputs are directly tied to commercial outcomes and measurable business impact    What’s in it for you?     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. For more details on the compensation and benefits package, please get in touch with our Talent team.       How we work     We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. This role is based in NYC and is required to work from our office 4 days a week.     As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be athttps://www.geniussports.com/reward/       One team, being brave, driving change       We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture athttps://www.geniussports.com/diversity/      Let us know when you apply if you need any assistance during the recruiting process due to a disability.  Offices: New York, New York, United States (New York City, USA);