This role will work end-to-end across our data lifecycle, split between platform work (ensuring all of our data sources are connected to the team's tools, checked for quality, and modeled to support business uses) as well as distribution work (assisting the teams with building and maintaining dashboards, analyses, and other data products for ongoing and ad hoc needs). 4+ years of experience in a highly analytical role, with a deep skillset in one or more data analytics area (ETL pipelines, dbt data modeling, business intelligence) and exposure to the full data stack, including SQL, dbt, Python, and data warehouses.