Design and develop scalable data models that power our data products
Collaborate with key stakeholders across product, engineering, operations, and data science teams
Contribute to and improve our dbt implementation and data models
Collaborate with partners across technical and non-technical teams
Support key decision makers about the state of the business
Participate in development, testing, documentation, and evangelism of core data models
Utilize analytical tools like Databricks, BigQuery, Airflow, Mode, and Tableau

4+ years in data science, data engineering or analytics engineering
Strong proficiency in SQL
Solid experience with data modeling and analyzing large scale data with modern cloud computing platforms
Experience with dbt strongly preferred
Experience with data pipeline development tools such as dbt, Databricks, BigQuery, and Airflow
Experience with Tableau or similar Data Visualization / BI tool
Prior experience in Python
Ability to translate non-technical business requirements into technical solutions
Strong relationship management and presentation skills
Experience contributing to data documentation and testing practices

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