Help build and maintain our Single Source of Truth for signal activity and revenue performance.
Work with large-scale datasets across AWS and DataBricks.
Transform complex signal data into clear insights through Looker dashboards.
Collaborate closely with Finance, Technology, and Business teams to ensure data reliability.
Define and evolve company’s Single Source of Truth for signal activity, revenue attribution, and product performance.
Help monitor signal delivery and data health using AWS logs and Datadog.
Maintain data integrity across Last Activity API and Activity Signal products.

Requirements

3+ years of experience in business intelligence, data analytics, or data engineering environments.
Experience working with large-scale datasets.
Advanced SQL with the ability to query large, complex datasets.
Experience working in cloud data environments such as AWS and DataBricks.
Experience building dashboards and data models in Looker (LookML) or leading a migration to Looker.
Experience working with event-based data, API logs, or streaming data.
Experience with SparkSQL or DataBricks Lakehouse architecture.
Strong understanding of financial metrics such as LTV, CAC, and gross margin.
Ability to work cross-functionally with Finance, Engineering, and business stakeholders.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLLookerLookMLSparkSQLDataBricksdata modelingdata analyticsdata engineeringevent-based dataAPI logs

Soft Skills

collaborationcross-functional teamworkcommunication