Senior People Analytics Analyst

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.