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 atgeniussports.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 atReward | Genius Sports. 
 
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 atDiversity | Genius 
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability.