Senior Analytics Engineer

GameChanger is looking to add a Senior Analytics Engineer to our Core Data Engineering team. In this role, you will own architecting our data foundation for reporting, analysis, and experimentation. Using Python, SQL, and DBT, you will optimize and transform data from warehouse tables into critical self-serve data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and empower data consumers across the company.

What You'll Do:

Own architecting, optimizing, and transforming data models in DBT in such a way that makes a broader range of analysis easy for Data Analysts / Scientists and self-service easy for business stakeholders
Own the DBT developer experience (e.g, deployment, testing, etc.)
Apply software engineering best practices like version control and continuous integration to the analytics code base
Work closely with our Data Engineers, Analysts, Scientists and Architect

Who You Are:

5+ years of experience in the Data space as an analyst, engineer, or equivalent
Deep familiarity with dimensional modeling/data warehousing concepts
Ability to write complex SQL, ad-hoc data pipelines, and data models in DBT and experience in using Python for data analysis
Demonstrated solid understanding of software engineering best practices
Comfort working in an agile, iterative environment and ability to thrive in a fully remote organization
Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations amongst cross-functional stakeholders

Experience:

Our data tech stack: Github, Airflow, Gitlab, Redshift, Snowflake, Fivetran, DBT, Looker, AWS
Nice to have: Experience with building and maintaining semantic layers and self-service technologies (e.g., Looker) for non-technical end-users

The target salary range for this position is between $150,000 and $210,000.

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