About Splash

Splash is the leading sports gaming platform built for friends and groups to safely compete for real money.

About The Role

The Senior Analytics Engineer will play a key role at Splash Sports. This person will be able to work across the business leveraging our state-of-the-art data platform using modern technologies like Snowflake and DBT. The right candidate will balance unlocking business users' ability to self-serve using delivered, well-defined data sets with digging in personally to offer deep insights into company performance.

What You’ll Do

• Collaborate with every part of the organization to collect business requirements, define successful analytics outcomes, and design data models. This includes training and supporting business users on how to use visualizations and tooling
• Provide clean, transformed data sets ready for analysis. Big Bonus Points for attribution modeling experience
• Offer deep insights on key areas of the business that relate our data to our reality. Answering questions like: why did churn spike last month? What are our best acquisition channels?
• Quarterly and Monthly Forecasting
• Build critical dashboards and visualizations around the Insight provided
• Create and maintain architecture and systems documentation
• Apply Software Engineering best practices to analytics code (version control, continuous testing, etc.)
• Utilize LLMs to innovate on internal processes and product-driven prototypes
  
  

What You’ll Bring

• 5-10 years of experience in Data Engineering and Analysis
• Mastery of SQL including the ability to understand and optimize complex queries
• Experience working to design, develop, and extend the Data Platform by using existing tools like Fivetran, DBT, Snowflake, and Metabase; experience specifically with DBT and Snowflake are required
• Proven ability to translate business requirements into technical solutions using modern tools like DBT
• Experience designing, implementing, operating, and extending data pipelines (Fivetran, Stitch, Airflow, Dagster, Prefect, etc.)
• Experience with a data warehouse solution, preferably in a cloud environment (Snowflake, BigQuery, Redshift, etc.)
• Experience building reports and dashboards in a data visualization tool (Grow, Looker, Tableau, Metabase, etc.)
• Ability to communicate very clearly across all organizational levels
• Ability to create project plans to identify tasks, milestones, and deliverables and hit them
• Experience in a production environment with Large Language Models and prompt engineering is a plus