Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Senior Analytics Engineer, you'll drive the vision for our data warehouse and analytics layer, setting us up to scale in both the number of players and internal users. You'll partner closely with teams such as Growth, Economy, User-generated Content, Social, among others, empowering them to understand player behavior deeply.

WHAT YOU'LL DO:

Partner with PMs, designers, engineers, and analysts/data scientists to build out the data layer to empower analysis, experimentation, and new product features.
Architect data warehouse modeling layer and establish the patterns and processes which will serve as the foundation for scaling our data.
Apply software engineering practices (e.g., code review, testing, version control) when creating new datasets to ensure data quality across our pipelines and BI tools
Identify gaps in our data collection processes and collaborate with product and engineering to iterate and improve current methodologies.
Design and implement top-level company dashboards to serve as the source of truth for company performance.
Build out experimentation datasets and pipelines to allow for granular analysis of A/B tests.
Partner with ML teams to build out data models to be used in model deployment
Work with partner teams to build datasets that will impact production, such as creator and player statistics.
Build out systems to evaluate ML model performance.

WE ARE LOOKING FOR INDIVIDUALS WITH:

5+ years of analytics experience, with substantial experience as an analytics engineer
Have a high level of proficiency in SQL (aggregate functions, window functions, complex joins, CTE), including query optimization skills
Substantial previous experience with pipeline orchestration. DBT and airflow preferred
Experience with dashboarding tools
Familiar with processes for handling event-based data
Experience with Python, R is a plus