Work on high-impact data problems that support revenue growth and help our advertising business scale
Build and maintain dbt models and BigQuery pipelines that power team tools and seller-facing reporting
Monitor pipeline health, identify issues early, and partner with data engineering and Insights teams to resolve upstream challenges
Create dashboards and reports that sales teams rely on, translating business needs into clear, actionable views
Partner closely with sales teams and leadership to understand needs, scope solutions, and deliver data that supports prioritization and decision-making
Improve how data is used in the sales process by surfacing signals that help teams focus, personalize outreach, and close opportunities
Support and extend pipelines that process unstructured data using LLMs, ensuring outputs are reliable, validated, and usable within BigQuery
Requirements
4+ years of experience in analytics engineering, BI engineering, or data/reporting roles, ideally supporting go-to-market, growth, or sales teams
experienced with SQL and BigQuery
worked with dbt and understanding how to extend and maintain models within an existing DAG
enjoy building systems that work consistently for a team
communicate clearly and can partner directly with non-technical stakeholders to understand needs and deliver solutions
comfortable translating business questions into structured data outputs and reporting
curious about applying AI in data workflows, including working with or learning about LLM-driven pipelines