Revenue Analytics Manager

Details

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.

The team embraces AI as a core productivity multiplier; all team members are expected to incorporate AI into daily workflows. GitLab is a high-performance, distributed, all-remote company where collaboration, documentation, and asynchronous communication are central.

An overview of this role

As a Revenue Analytics Manager, you’ll be the individual contributor responsible for turning complex sales and go-to-market data into clear insights and tools that help leaders make better decisions. You will work with first order, SMB, sales development, and core sales performance metrics to build AI tools, analytics, and insights that Field Operations stakeholders can rely on. You will own projects end-to-end: partner with Sales and Operations stakeholders to understand questions, manage projects, run analyses, and translate results into recommendations that drive tangible impact.

You’ll work primarily with Claude, dbt, Snowflake, SQL, and Python to build insights. Deliverables will be platform-agnostic — choices may include scalable data models, verified queries, agentic workflows, dashboards/reporting, or ad hoc analysis via Google Sheets. You will collaborate closely with adjacent functions such as Pipeline, Sales Strategy, and Customer Success analytics. Initial priorities include establishing a strong analytics foundation for new business and first orders, delivering quick-win insights and scalable reporting, and becoming a trusted partner to go-to-market leaders.

Responsibilities

• Lead end-to-end first order and new business analytics work: define questions with stakeholders, build datasets, run analysis, and deliver clear recommendations.
• Determine which legacy Tableau dashboards need maintenance, updating, or migration to AI-based solutions.
• Drive deep analysis of first order pipeline, new business attainment, and other sales metrics using SQL and Python to uncover trends, risks, and opportunities.
• Collaborate with Sales, Field Operations/RevOps, Finance, and Customer Success to translate business needs into scalable analytical solutions and tools.
• Own the quality, structure, and usability of sales data in partnership with central data teams, ensuring consistency across Snowflake, dbt models, and other data sources.
• Manage stakeholder expectations and project timelines, prioritize requests, and communicate trade-offs and outcomes clearly and structuredly.
• Partner with Customer Success and broader go-to-market teams to align sales analytics with go-to-market and customer success metrics.
• Contribute to improving analytics processes, documentation, and standards for efficiency and reusability.

Requirements

• Background in sales analytics with hands-on experience interpreting pipeline health, quota attainment, and forecast accuracy.
• Proficiency with AI and business intelligence tools, and direct experience using Tableau or a similar BI platform.
• Practical skills in querying and transforming data using SQL and Python; comfort with modern data warehouses and analytics environments.
• Experience with Analytic Engineering and the ability to decide when a solution should be a view, table, or custom query for long-term objectives.
• Ability to manage projects and stakeholders, translate business questions into analytical plans, and communicate findings to non-technical partners.
• Experience supporting sales or go-to-market teams, familiarity with new business development, pre-sales, marketing, or SMB sales processes.
• Exposure to dbt, Snowflake, or comparable technologies and understanding of data structures that support scalable reporting.
• Clear, structured communication skills in an all-remote, asynchronous environment, including documentation and cross-time-zone collaboration.
• Openness to learn GitLab’s product, data model, and ways of working; transferable experience from revenue or field operations analytics roles.

About the team

The Revenue Analytics team sits within GitLab’s Revenue Strategy & Operations organization and focuses on turning sales and go-to-market data into actionable insights for leaders and frontline teams. The team is distributed, works asynchronously across time zones, and partners closely with Sales, Customer Success, Finance, and other Revenue Operations members. Current priorities include strengthening sales analytics foundations, deepening use of BI tools like Tableau, and building repeatable analytics assets.

Compensation

United States Salary Range: $126,400 - $213,600 USD. (This base salary range is currently for residents of the United States only and does not include bonuses, equity, or benefits.)

How GitLab Supports Full-Time Employees

• Benefits to support 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

Hiring & Privacy

GitLab hires new team members in countries around the world; roles are remote but may carry location-based eligibility requirements. The Talent Acquisition team can help answer location questions during the recruiting process. Please review GitLab’s Recruitment Privacy Policy for details on candidate privacy.