The opportunity
The Revenue Analytics team are full-stack analytics business partners who work with stakeholders to turn data into clear insights that help leaders make informed decisions. Members of this team are able to take questions and needs from leadership and create solutions based on…
What you'll do
Lead and develop the Revenue Analytics team, setting analytics standards and: building scalable capabilities to support GitLab's growth.
Support AI self-serve initiatives within the Field through certified data: sets, coordination with Ent Data on semantic layers and metric definitions.
Lead a team building insights via AI tooling and solutions along with legacy BI solutions.
Own the analytics roadmap across sales, customer success, and professional: services to improve sales productivity, retention, services utilization, and revenue performance.
Develop and support forecasting, pipeline, capacity, and predictive models to: improve forecast accuracy, conversion, velocity, resource allocation, and revenue planning.
Build customer lifecycle analytics for onboarding, product adoption,: engagement, churn risk, expansion, NRR, and GRR to improve customer outcomes.
What they're looking for
- Provide strategic leadership on the metrics, insights, and data necessary to: help the GTM functions migrate to a consumption-based business model.
- Create executive artifacts to be used on recurring basis, integrated: reporting, attribution models, and strategic analyses that connect acquisition, post-sale, and services performance.
- Partner with executive leaders and teams across Revenue Operations,: Marketing, Finance, Product, Professional Services, and Enterprise Data & Analytics to turn business questions into clear recommendations.
- Establish data governance and reporting frameworks that improve data quality: and provide reliable insights for executive, board, and external reporting.
