Senior Analytics Engineer
Sofia, Bulgaria
Genius Sports
Genius Sports is at the heart of the sports data ecosystem aiming to champion a more sustainable ecosystem for sports, betting and media.
A bit about us
Do you want to join one of the world’s fastest growing sports technology companies?
Genius Sports is at the epicentre of the global network connecting sports, brands and fans through official live data. Our mission is simple. We champion a more sustainable sports data ecosystem that benefits all parties.
We’re looking for enthusiastic and ambitious people to join our talented team.
If you see yourself becoming part of a global family building the future of sports entertainment together, then come and grow with us.
We put trust in our people to deliver the difference for our clients around the world. It’s why many of the world’s largest leagues & federations such as the NFL, English Premier League, FIBA and NCAA choose to work with Genius Sports.
The Role
As a Senior Analytics Engineer at Genius Sports, you will lead data modelling excellence within the core Business Intelligence team. Reporting into the BI Team Lead with technical mentoring from our Data Engineering Lead, you will own and develop our critical data models and mentor our Analytical function in the creation of insight specific models. This role will require excellent SQL modelling skills and a high degree of competence of breaking down business problem statements into component parts and delivering data driven solutions to these. Experience mentoring wider team members is required, but not necessarily direct line management exposure.
Our team primarily operates with dbt Cloud on top of Snowflake and widespread consumption data downstream in Power BI (Premium Capacity).
At Genius Sports we are:
- One Team
- We’re Brave
- We Drive Change
And we are looking for team members who embrace and display that spirit.
Primary Responsibilities
- Develop and own logical and physical data models/databases.
- Designing and developing data transformation pipelines based on foundational data built out by our Engineering team to deliver insightful data models
- Ensuring documentation excellence of the above, both directly within our codebase and within our Data Catalogue
- Identification of opportunities to shape our analytical data landscape to deliver wider business value.
- Act as a community leader within our wider business user base
- Ensuring compute and cost-efficient modelling processes
- Coordinate with Engineering DataOps team to ensure robust ownership processes of pipelines and projects.
- Translation of stakeholder requirements and business processes into actionable data model
- Inspire wider team with promotion of the art of the possible, and new advancements in technology.
Required Skills and Experience
- 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 some of the following tools
- Databricks
- Snowflake
- Power BI
- Gitlab
- Fivetran
- Comfortable with initial ambiguity of problem statements and adept in distilling those down to deliverable action
- Excellent verbal and written communication skills
Beneficial Skills
- Previous experience in contributing to an Enterprise-wide data catalogue
- Experience with data modelling and report creation in Power BI
- Competence in Data Analysis in Python
- Comfortable interacting with APIs
- Exposure to DataOps and CI/CD pipelines within GitLab in particular
- General passion for Sports
How we work
We have adapted a forward-thinking ‘Ways of Working’ framework, which sets out (amongst other things) the opportunities for Geniuses to work flexibly, remotely and on working holidays. It affects different teams and locations differently, so please ask for further information in how it would work with this role.
Our employees are empowered to stretch the boundaries of what’s achievable, always reaching further and pushing the edges to see what gives. We collaborate, we innovate, and we celebrate. We will continue to grow as an organisation and continue to invest in our highly talented and diverse team of Geniuses.
Genius Sports Group is proud to be an equal opportunities employer. We recognize and celebrate the benefits that a diverse and inclusive workforce bring to our business, our customers and our staff. We welcome and will consider all applications regardless of age, different abilities or disability, gender re-assignment, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation (and any other applicable status). Please let us know when you apply if you need any assistance during the recruiting process due to a disability.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Business Intelligence CI/CD Data analysis Databricks DataOps dbt Engineering FiveTran GitLab Pipelines Power BI Python Snowflake SQL
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