Senior People Analytics Analyst
New
G
GitLabSoftware Development
Location: Remote, United StatesFull-TimeSenior
Salary$115,000 — $194,000 USD
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Job Details
- Required Skills
- PythonSQLMicrosoft Power BITableauData visualizationLookerR
Requirements
- 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.
Responsibilities
- 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.
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