Senior Revenue Analytics Analyst

at GitLab

📍 Canada
📍 United States

USD 115,200-194,400 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

A/B Testing AI @ 6 BI Experimentation @ 6 GenAI Generative AI @ 6 Marketing @ 6 Python @ 4 SQL @ 6 Snowflake @ 4 Tableau @ 4 dbt @ 4

Details

GitLab is seeking a Senior Revenue Analytics Analyst to partner with global Sales Strategy, Solutions Architect, Ecosystem, and Field Operations teams. The role uses data to improve pre-sales engagement, connect product trials to consumption, and measure how partners influence won deals and resulting consumption. The analyst will translate stakeholder questions into analytical requirements, analyze customer engagement and adoption data, build AI-enabled analytics solutions, and maintain analytics foundations for scaled engagements, digital touchpoints, and automation.

Responsibilities

Partner with Solution Architect, Sales Strategy, Ecosystem, and other go-to-market stakeholders to translate questions about pre-sales engagement, consumption, pipeline, and sales efficiency into analytical requirements.
Design and build AI and analytical solutions that provide insights into trial management, win rates, adoption, conversion, and sales metrics.
Create well-structured, maintainable solutions using business intelligence and AI tools, following internal standards and enabling customer-facing teams to monitor performance and take action.
Define requirements for stakeholder and engagement data models with operational and data teams, 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 guiding analysts and business partners.

Requirements

Experience in analytics roles focused on pre-sales motions and SaaS, including customer engagement, adoption, and health across the customer lifecycle.
Experience combining data from multiple customer and go-to-market systems to create unified views of pre-sales and partner engagements and outcomes.
Proficiency writing complex SQL queries using joins, aggregations, common table expressions, and conditional logic.
Experience using SQL and Python to analyze pipeline, pre-sales engagements, trial success rates, and other sales metrics.
Ability to collaborate with Sales, Field Operations or RevOps, Finance, Customer Success, Solution Architects, Strategy, Marketing, Product, and other cross-functional partners.
Experience defining the quality, structure, and usability of sales data in partnership with central data teams, including work with Snowflake, dbt models, and other data sources.
Ability to translate complex business questions into clear analytical approaches and communicate findings to technical and non-technical audiences.
Experience working in a remote, distributed environment.
Strong attention to data quality, consistency, and performance, including clear documentation of assumptions, logic, and edge cases.
Openness to experimenting with generative AI, experimentation techniques, and related analytics or data tools.

Team

The Revenue Analytics team is part of GitLab’s Revenue Strategy & Operations organization. It turns sales and go-to-market data into actionable insights for leaders and frontline teams. The distributed team works asynchronously across time zones with Sales, Customer Success, Finance, and Revenue Operations teams. Current priorities include strengthening the sales analytics foundation, expanding the use of business intelligence tools such as Tableau, and building repeatable analytics for understanding performance and identifying improvement opportunities.

Salary

The United States salary range for this role is $115,200–$194,400 USD per year. The range applies to United States residents and excludes bonuses, equity, and benefits.