A day on the Data Team may look like this

• Design and write new SQL data transformations in our Data Warehouse using dbt to enhance BI and Product Analytics and enable new product features.
• Answer a question from our CEO about a user-driven KPI over the past 6 months. Code a quick POC of an improved metric in our BI tool.
• Dig into a data request from a Fortune 500 data partner to identify the volume of Solar Installation projects across several major cities. Iterate with their data science departments throughout a data trial.
• Produce new Product Analytics in a Jupyter Notebook for an experimental project by our Growth team.

Our Technology Stack

• Databases: Billions of rows across a complex data model - Snowflake, MySQL, Redshift, Postgres
• File Systems: AWS S3, Linux Shell
• ELT: dbt, Airflow, Amazon DMS
• BI: Sisense for Cloud Data Teams

What You Bring to the Team

• At least 2 years’ dedicated experience in a BI or Analytics role in a growing company with demonstrated success planning and executing multi-step projects.
• Meaningful experience with Data Modeling, ELT, and/or dbt.
• Strong SQL. At least 2 years experience calculating metrics with group bys, case statements, and scripting (either CTEs, temp tables, or procedural SQL). 
• Exceptional professional communication (verbal, written, and visual). Open to customer-facing aspects.
• You love customers and have a history of understanding their needs and providing solutions. You think of your teammates as customers too.
• Experience with applied statistics a plus
• Familiarity with Jupyter Notebooks / Google Colab / Pandas / Git / Geo-location tools & APIs a plus