Senior Analytics Engineer

Genius Sports is a fast-growing sports technology company connecting sports, brands, and fans through official live data.
Data
Senior Software Engineer
Hybrid
5+ years of experience
AI · Sports
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Description For Senior Analytics Engineer

Genius Sports is at the forefront of the global network connecting sports, brands, and fans through official live data. Our mission is to champion a more sustainable sports data ecosystem that benefits all parties. We're seeking a Senior Analytics Engineer to lead data modelling excellence within our core Business Intelligence team.

In this role, you'll own and develop critical data models, mentor our Analytical function, and deliver data-driven solutions to complex business problems. You'll work primarily with dbt Cloud on Snowflake, with downstream consumption in Power BI.

Key responsibilities include:

  • Developing logical and physical data models
  • Designing data transformation pipelines
  • Ensuring documentation excellence
  • Identifying opportunities to enhance our analytical data landscape
  • Acting as a community leader within our business user base
  • Ensuring compute and cost-efficient modelling processes
  • Translating stakeholder requirements into actionable data models

We're looking for someone with 5+ years of experience in a relevant technical discipline, highly proficient in dbt (ideally Cloud), with extensive knowledge of dimensional modelling techniques. You should be comfortable with initial ambiguity and adept at distilling complex problems into deliverable actions.

At Genius Sports, we value being One Team, being Brave, and Driving Change. We offer flexible working arrangements and opportunities for professional growth. Join us in building the future of sports entertainment!

Last updated 6 months ago

Responsibilities For Senior Analytics Engineer

  • Develop and own logical and physical data models/databases
  • Design and develop data transformation pipelines
  • Ensure documentation excellence
  • Identify opportunities to shape analytical data landscape
  • Act as a community leader within business user base
  • Ensure compute and cost-efficient modelling processes
  • Coordinate with Engineering DataOps team
  • Translate stakeholder requirements into actionable data models
  • Inspire wider team with promotion of new advancements in technology

Requirements For Senior Analytics Engineer

Python
  • 5+ years' experience in relevant technical discipline
  • Highly proficient and experienced user of dbt (ideally Cloud)
  • Extensive knowledge of dimensional modelling techniques
  • Significant experience with tools like Databricks, Snowflake, Power BI, Gitlab, Fivetran
  • Comfortable with initial ambiguity of problem statements
  • Excellent verbal and written communication skills

Interested in this job?