Looker is a business intelligence platform that connects directly to databases for real-time analytics. RevOps teams use its LookML modeling layer to create standardized revenue metrics and self-service dashboards that align sales, marketing, and customer success around common KPIs.
340open roles·$125K–$165Kmedian (based on 105 roles · USD)·36%remote
What LookML skills do RevOps employers typically look for?
Employers want candidates who can build dimensions and measures for revenue metrics, create derived tables for complex calculations like cohort analysis, and implement data governance through proper naming conventions and documentation. Experience with revenue-specific models like subscription metrics, pipeline stages, and customer segmentation is highly valued.
How does Looker experience differ from other BI tools in RevOps roles?
Looker's code-based modeling approach means RevOps professionals can version control their work, collaborate like developers, and create more sophisticated revenue attribution models. Many employers prefer Looker experience because it demonstrates ability to think systematically about data relationships and build scalable analytics infrastructure rather than just creating one-off reports.
Do I need to know LookML coding to be competitive for Looker-based RevOps jobs?
Yes, most serious RevOps roles require LookML proficiency beyond just using the Looker interface. You should be comfortable writing explores, joins, and SQL-based derived tables. However, the learning curve is manageable for analysts with SQL experience, and many companies provide LookML training for strong candidates.