# Senior Director, Revenue Analytics

**Company:** [GitLab](https://hotfix.jobs/companies/gitlab)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $203k – $346k/yr
**Experience:** 8+ years
**Skills:** SQL, Tableau, Hex, Omni, Claude, OpenAI, Gemini, Data Modeling, Statistical Analysis, Predictive Modeling, Gainsight, Pendo, Business Intelligence
**Posted:** 2026-08-06

> Leads the Revenue Analytics function and team, shaping sales, customer success, professional services, and customer lifecycle analytics to improve forecasting, retention, resource allocation, and revenue growth. Requires executive-level influence, SaaS revenue expertise, and advanced analytics and AI tooling proficiency.

## Job Description

## Responsibilities
- Lead and develop the Revenue Analytics team, setting analytics standards and building scalable capabilities to support GitLab's growth.
- Support AI self-service initiatives within the field through certified datasets, semantic layers, and metric definitions.
- Lead a team delivering insights through AI tooling, solutions, and legacy business intelligence systems.
- 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.
- Provide strategic leadership on metrics, insights, and data needed to support migration to a consumption-based business model.
- Create recurring executive artifacts, integrated reporting, attribution models, and strategic analyses connecting acquisition, post-sale, and services performance.
- Partner with Revenue Operations, Marketing, Finance, Product, Professional Services, and Enterprise Data & Analytics to turn business questions into recommendations.
- Establish data governance and reporting frameworks that improve data quality and provide reliable insights for executive, board, and external reporting.

## Requirements
- Experience leading analytics teams and developing team members in sales, customer, revenue operations, business intelligence, or consulting environments.
- Knowledge of business-to-business software-as-a-service models, sales processes, and revenue metrics across the customer lifecycle.
- Experience with consumption-based metrics and business models.
- Ability to develop strategic analytics roadmaps, translate complex data into clear insights, and influence executive-level decisions.
- Experience with customer success analytics, including health scoring, churn prediction, NRR and GRR analysis, segmentation, and expansion analytics.
- Experience with sales and professional services analytics, including forecasting, revenue planning, utilization, project profitability, and services-led growth metrics.
- Ability to work with large, complex datasets to develop analytical frameworks for resource allocation, capacity planning, and customer outcomes.
- Advanced proficiency with AI tools, business intelligence tools, SQL, data modeling, statistical analysis, and predictive modeling for customer analytics.

## Nice-to-haves
- Familiarity with customer data platforms, product analytics tools such as Gainsight or Pendo, services management systems, and other business intelligence platforms.

## Compensation and Benefits
- Base salary range: **$203,200–$345,600 USD** for residents of the United States.
- The base salary range excludes bonuses, equity, and benefits.
- Sales roles may be eligible for incentive pay targeted at up to 100% of offered base salary.
- Benefits include flexible paid time off, team member resource groups, equity compensation and employee stock purchase plan, growth and development fund, and parental leave.

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