Senior Revenue Analytics Analyst

ABOUT THE ROLE As a Senior Revenue Analytics Analyst at GitLab, you will be a key partner to our global Sales Strategy, Solutions Architect, and Ecosystem teams, using data to drive business growth and decision-making. You will work closely with cross-functional stakeholders to translate business questions into clear analytical requirements, design and build AI and analytic solutions, and provide actionable insights to inform sales strategies and improve customer engagement. WHAT YOU'LL DO As a Senior Revenue Analytics Analyst, your primary responsibilities will include: Partnering 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. Designing and building AI and analytic solutions that provide actionable insights for trial management, win rates, adoption, conversion, and overall sales metrics. Crafting 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. Partnering 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. Using segmentation, cohort analysis, and experimentation techniques, such as A/B testing, to inform scaled engagement strategies and forecast the impact of digital programs. Serving 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. WHAT YOU'LL NEED To be successful in this role, you will need: 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. Collaboration skills to work closely with Sales, Field Operations / RevOps, Finance, and Customer Success partners to translate business needs into scalable analytical solutions and tools. 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. WHY REMOTE As a remote employee at GitLab, you will have the flexibility to work from anywhere and be part of a global team that values collaboration, innovation, and continuous knowledge exchange. You will have the opportunity to work with industry leaders to solve complex problems and accelerate your career growth. BENEFITS GitLab offers a comprehensive benefits