Senior Revenue Analytics Analyst

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 same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.

Overview

As a Senior Revenue Analytics Analyst, you'll be a key partner to our global Sales Strategy, Solutions Architect and Ecosystem teams, using data to improve how we engage in the pre-sales motion, tie trials of our products into consumption, and demonstrate how our Partners influence winning deals and resulting consumption. You'll translate questions from Solution Architect, Sales Strategy, and Ecosystem partners into clear analytical requirements. You'll explore customer engagement, adoption, and satisfaction data and turn findings into metrics, AI tools, analytics, and insights that Field Operations stakeholders can rely on. Working closely with Revenue Analytics teammates and cross-functional stakeholders, you'll build and maintain analytics foundations that power one-to-many engagements, digital touchpoints, and automation. You'll experiment with AI and legacy tech stack tooling to increase speed to insight. You'll also advocate for data quality, consistency, and clear definitions as you shape how we measure and understand customer health and outcomes.

Responsibilities

• Partner with Solution Architect, Sales Strategy, Ecosystem, and other Go-To-Market stakeholders and teammates to translate questions about pre-sales engagement, consumption, pipeline, and sales efficiency into clear analytical requirements.
• Design and build AI and analytic solutions that provide actionable insights for trial management, win rates, adoption, conversion, and overall sales metrics.
• Craft well-structured, maintainable solutions in both business intelligence and AI tools that follow internal standards and make it easy for customer-facing teams to monitor performance and take action.
• Partner with operational and data teams to define requirements for stakeholders and engagement data models, shaping how data is collected, structured, and made available for analysis.
• Use segmentation, cohort analysis, and experimentation techniques, such as A/B testing, to inform scaled engagement strategies and forecast the impact of digital programs.
• Serve as a subject matter expert in sales analytics by sharing best practices, documenting logic and methodologies, and providing guidance to help partners and other analysts use data to make better decisions.

Requirements

• Experience in analytics roles focused on pre-sales motions and SaaS, including analyzing customer engagement, adoption, and health across the customer lifecycle.
• Background combining data from multiple customer and go-to-market systems to create a unified view of pre-sales and Partner engagements and outcomes.
• Proficiency writing complex SQL queries with joins, aggregations, common table expressions, and conditional logic to support reporting and in-depth analysis.
• Drive analysis of pipeline, pre-sales engagements, trial success rates, and other sales metrics using SQL and Python to uncover trends, risks, and opportunities.
• Collaborate closely with Sales, Field Operations / RevOps, Finance, and Customer Success partners to translate business needs into scalable analytical solutions and tools.
• Partner with teammates to define the quality, structure, and usability of sales data in partnership with central data teams, ensuring consistency across Snowflake, dbt models, and other data sources where relevant.
• Ability to translate complex pre-sales and sales questions into clear analytical approaches, and to communicate findings and recommendations in a concise, accessible way to both technical and non-technical audiences.
• Experience collaborating with cross-functional partners such as Solution Architects, Customer Success, Strategy, Marketing, Product, and Sales in a remote, distributed environment.
• Attention to data quality, consistency, and performance, with a habit of documenting assumptions, logic, and edge cases clearly.
• Openness to experimenting with new tools and methods, including generative AI and experimentation techniques, and to applying transferable skills from related analytics or data 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 clear, actionable insights for leaders and frontline teams. You’ll join a distributed group that partners closely with Sales, Customer Success, Finance, and other Revenue Operations team members to understand pipeline health, quota performance, and broader go-to-market metrics, and to build the tools and reporting that support better decisions. The team works asynchronously across time zones, using GitLab and our data stack to collaborate on projects, share context, and maintain transparency. Current priorities include strengthening our sales analytics foundation, deepening our use of business intelligence tools like Tableau, and building repeatable analytics that help stakeholders quickly understand performance and identify opportunities to improve results.

Salary

United States Salary Range

$115,200 - $194,400 USD

This base salary range is currently for residents of the United States only and does not include bonuses, equity, or benefits. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location.

Benefits and Support

• 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

Hiring & Legal Notes

• GitLab hires new team members in countries around the world. All roles are remote, however some roles may carry specific location-based eligibility requirements. Talent Acquisition can help answer location questions after starting the recruiting process.
• Privacy Policy and Recruitment Privacy Policy links are provided in the original posting.
• GitLab is an equal opportunity workplace and affirmative action employer. Policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit.