People Analytics

GitLab People Analytics Team Handbook Page

Overview

People Analytics uses data-driven insights to improve talent decisions and workforce processes at GitLab. We’re part of the People Strategy team, helping inform People Group decisions at all organizational levels through reporting, data solutions, and statistical analysis.

People Analytics Team Members

What We Do

Our Mission: Provide data insights to inform People decisions across GitLab by collecting and analyzing organizational, people, and talent data to improve business outcomes.

Key Objectives:

  • Reporting Solutions - Work with stakeholders to develop automated reporting solutions that deliver relevant People metrics efficently and accurately
  • Data Solutions - Collaborate with the Data Team to build scalable data models to support reporting and analytics
  • Analytical Solutions - Apply advanced statistical techniques (clustering, regression, survival analysis) to generate actionable insights and data-informed decisions for People Group and leadership throughout GitLab

Tools & Resources

Primary Tools

  • Tableau - Data visualization, dashboards, and ad-hoc analysis
  • RStudio/R - Statistical modeling and data cleaning. Learn more in our Rstudio handbook page
  • Snowflake - Data warehouse and SQL exploration
  • Culture Amp - Employee surveys and assessments
  • Google Sheets - Stakeholder-specific solutions when needed

People Analytics Handbook Contents

External Resources

Data Governance & Security

GitLab’s commitment to transparency and efficiency extends to our data governance framework. The People Analytics team collaborates closely with People and Legal teams to ensure we only access data we are authorized to use. Our process includes access verification and stakeholder approval for all data requests, maintaining strict compliance with applicable laws and regulations.

Core Governance Principles:

  • Source System Priority - People Group daily operations remain in ther source systems to maintain data integrity and workflow efficiency
  • Strategic Data Warehousing - Our data warehouse, built on technologies like dbt and Snowflake is reserved for “up and out” organizational reporting and analytics
  • Data Minimization - We only bring in the data needed in reporting and anonymize information whenever possible to protect individual privacy
  • Comprehensive Tracking - We track data from source system to all downstream systems to understand and mitigate risk throughout the data lifecycle

This governance framework ensures that data remains consistent, reliable, and easy to work with while protecting sensitive information. For detailed information about our data governance processes, see our Data Governance handbook page.

Working With Us

Submit requests and ideas using issue templates in the People Analytics project.


Data Guide to People Data Analysis
Objectives for this page This handbook page provides an overview of data definitions and data models …
People Analytics Data Governance
As data becomes more central to decision-making, it is essential to establish a robust data …
People Analytics Survey Support
Employee Surveys Here at GitLab we use Culture Amp to conduct our employee sentiment surveys. The …
People Analytics Tableau Dashboard Overview
Helpful places to start Tableau Handbook Page - This is the SSOT for all Tableau usage and is …