Director, Revenue Analytics

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Lead and develop the Revenue Analytics team, setting analytics standards and building scalable capabilities • Support AI self-serve initiatives within the Field through certified data sets, semantic layers, and metric definitions • Lead a team building insights via AI tooling and legacy BI solutions • Own the analytics roadmap across sales, customer success, and professional services • Develop and support forecasting, pipeline, capacity, and predictive models • Build customer lifecycle analytics for onboarding, product adoption, engagement, churn risk, expansion, NRR, and GRR • Provide strategic leadership on metrics, insights, and data for migration to a consumption-based business model • Create recurring executive artifacts, integrated reporting, attribution models, and strategic analyses • Partner with executive leaders and cross-functional teams to turn business questions into recommendations • Establish data governance and reporting frameworks for reliable 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 B2B SaaS business 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 (Claude, OpenAI, Gemini), BI tools (Tableau, Hex, Omni), SQL, data modeling, statistical analysis, and predictive modeling • Familiarity with customer data platforms, product analytics tools such as Gainsight or Pendo, services management systems, and other BI platforms is a plus

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave