Senior Director, Revenue Analytics — AI-Driven Growth Remote

GitLab Inc.

Northern (KY)

Hybrid

USD 165,000 - 255,000

Full time

14 days+
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Job summary

GitLab Inc. is seeking a Senior Director, Revenue Analytics to lead a high-performing analytics team and own the strategic vision for data across sales, customer experience, and revenue operations.

You will partner with executive leadership to translate data into strategic go-to-market decisions and drive sustained revenue growth throughout the customer lifecycle. The role requires deep experience in analytics leadership, SaaS metrics, and predictive modeling, plus strong collaboration with

Qualifications

  • Experience leading analytics teams and developing team members in analytics or consulting.
  • Knowledge of B2B SaaS business models and revenue metrics across the customer lifecycle.
  • Experience with consumption-based metrics and business models.
  • Ability to develop strategic analytics roadmaps and translate data into clear insights.
  • Experience with customer success analytics including health scoring and churn prediction.

Responsibilities

  • Lead and develop the Revenue Analytics team and set analytics standards.
  • Support AI self-serve initiatives with certified data sets and semantic layers.
  • Own analytics roadmap across sales, customer success, and professional services.
  • Develop forecasting, pipeline, and predictive models to improve forecast accuracy and revenue planning.
  • Build customer lifecycle analytics for onboarding, adoption, engagement, churn risk, and expansion.

Skills

Analytics leadership
Sales & revenue analytics
AI tooling
SQL
BI tools
Forecasting
Data modeling
Executive stakeholder management
Gainsight/Pendo
Tableau

Tools

Tableau
Hex
Omni
SQL

Job description

GitLab Inc. is seeking a Senior Director, Revenue Analytics to lead a high-performing analytics team and own the strategic vision for data across sales, customer experience, and revenue operations.

You will partner with executive leadership to translate data into strategic go-to-market decisions and drive sustained revenue growth throughout the customer lifecycle. The role requires deep experience in analytics leadership, SaaS metrics, and predictive modeling, plus strong collaboration with

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