People Analytics Analyst

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. 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 survival analysis, to identify meaningful trends in people data. - Serve as a subject matter expert for surveys at GitLab, including survey design consultation, platform configuration, implementation, factor analysis, text analysis, trend identification, and results analysis. - Own people analytics intake and office hours, helping stakeholders frame business questions, triage requests, and get value from existing reporting solutions. - Create and maintain clear documentation for data definitions, business rules, analytical methods, and reporting solutions. What you’ll bring - Experience in analytics, preferably within People Analytics, Recruiting Analytics, or a closely related function. - Experience developing reports and dashboards with business intelligence tools such as Tableau, Power BI, Looker, or similar platforms. - Advanced SQL skills, including experience building and maintaining analytical data models in large-scale relational databases. - Proficiency in R or Python for statistical analysis, data preparation, and workflow automation. - Experience designing, implementing, and analyzing team member surveys. - Strong data visualization and storytelling skills, with the ability to develop and deliver presentations for senior and executive audiences. - Clear written and verbal communication skills, attention to detail, and the ability to produce well-organized reference materials. - Experience with Workday reporting and data extraction, people systems such as Greenhouse or Culture Amp, or AI experimentation and automation in analytics workflows is helpful but not required.