Senior People Analytics Analyst

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. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As a Senior People Analytics Analyst, you'll help GitLab use people data to make clear, informed decisions. The People Technology & Analytics Job Family owns the technology and reporting solutions that support GitLab's People team. Working in partnership with the People Leadership team and cross-functional stakeholders, you'll shape and deliver analytics solutions with a data-first mindset, from scalable reporting and advanced statistical analysis to survey strategy and workflow automation.

You don't need extensive GitLab or DevOps knowledge when you join. GitLab's onboarding and training program will provide the context you need to succeed in this role.

What you’ll do

• Design, develop, and continuously improve reporting and dashboard solutions that meet cross-functional business needs.
• Translate technical outputs into clear visualizations, summaries, and actionable insights for business stakeholders.
• Write advanced SQL to build, validate, and maintain scalable data models with reusable business logic, and troubleshoot data quality issues.
• Collaborate with the Data team to manage data pipelines, automate manual workflows, and identify opportunities to improve efficiency and scale using artificial intelligence (AI) and other methods.
• Apply statistical methods, including regression, forecasting, hypothesis testing, and survi