Senior Revenue Analytics Analyst
GitLab is an AI-powered DevSecOps platform that unifies the entire software development lifecycle into a single application. It helps development, security, and operations teams to collaborate and deliver software more efficiently, with security integrated at every step. The platform is trusted by millions of users and a majority of the Fortune 100.
About GitLab Inc.
GitLab is a comprehensive, AI-powered DevSecOps platform that streamlines the entire software delivery process by unifying the development lifecycle into a single application. It integrates source code management, CI/CD, security, and monitoring to help teams build, secure, and operate software more efficiently. Key features include automated security scans built into the development pipeline and AI-driven tools like GitLab Duo for code suggestions and chat, which enhance developer productivity. GitLab serves a diverse client base, from startups and open-source projects to large enterprises, including over half of the Fortune 100. The platform aims to reduce complexity, accelerate delivery cycles, and strengthen security and compliance for its users.
Skills
About the Role
You will translate pre-sales, consumption, pipeline, and sales-efficiency questions into analytical requirements. You will build maintainable business intelligence and AI solutions for trial management, adoption, conversion, win rates, and sales metrics. You will define stakeholder and engagement data models, apply segmentation, cohort analysis, and A/B testing, and document data logic and methodologies. You will also improve data quality, consistency, and performance while communicating insights and recommendations to technical and non-technical stakeholders.
Requirements
- Experience in analytics roles focused on pre-sales motions and SaaS
- Experience analyzing customer engagement, adoption, and health across the customer lifecycle
- Experience combining data from multiple customer and go-to-market systems
- Proficiency writing complex SQL queries with joins, aggregations, common table expressions, and conditional logic
- Ability to analyze pipeline, pre-sales engagements, trial success rates, and sales metrics using SQL and Python
- Experience collaborating with Sales, Field Operations or RevOps, Finance, and Customer Success partners
- Experience working with Snowflake, dbt models, and other data sources
- Ability to communicate analytical findings and recommendations to technical and non-technical audiences
- Experience collaborating with cross-functional partners in a remote, distributed environment
- Attention to data quality, consistency, performance, assumptions, logic, and edge cases
- Openness to generative AI and experimentation techniques
Responsibilities
- Translate pre-sales engagement, consumption, pipeline, and sales-efficiency questions into analytical requirements
- Design and build AI and analytics solutions for trial management, win rates, adoption, conversion, and sales metrics
- Create maintainable business intelligence and AI solutions that enable customer-facing teams to monitor performance and act
- Define requirements for stakeholder and engagement data models
- Apply segmentation, cohort analysis, and A/B testing to inform scaled engagement strategies and forecast digital-program impact
- Share sales analytics best practices, document logic and methodologies, and guide partners and analysts in using data
Benefits
- Health, financial, and well-being benefits
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity compensation
- Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave