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#### Responsibilities
- Design, develop, and continuously optimize reporting and dashboard solutions that meet business needs and requirements
- Create opportunities for automation, improvements and scalability
- Orchestrate expert level data visualizations and presentations that convey a meaningful story and actionable insights to business partners
- Translate technical outputs into clear narratives with recommendations to help achieve business objectives
- Make recommendations to improve existing process design for data-collection methodologies
- Build effective relationships and collaborate with team members, business leaders and partners to solve organizational problems
- Design, develop, and continuously optimize reporting and dashboard solutions that meet cross-functional business needs
- Translate technical outputs into clear visualizations and summaries with 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 AI and other methods
- Apply advanced statistical methods, such as regression, forecasting, hypothesis testing, and survival analysis, to identify meaningful trends in people data
- Serve as subject matter expert for surveys at GitLab, owning survey design consultation, platform configuration, implementation, and results analysis
- Analyze survey data using methods including factor analysis, text analysis, and trend identification to surface insights for leadership
- Own people analytics intake and office hours, helping stakeholders frame business questions, triage requests, and get value from existing reporting solutions
- Create and maintain documentation for data definitions, business rules, analytical methods, and reporting solutions
#### Requirements
- 4+ years of experience in an analytics role (People or Recruiting Analytics function preferred).
- Strong business acumen, analytical skills including written communication and presentation development.
- Advanced SQL skills and experience modeling within large-scale relational databases
- Experience developing reporting and dashboards with BI tools such as Tableau, Power BI, Looker, or similar tools
- Strong data visualization & storytelling skills
- Solid experience with regression analysis and other statistical modeling techniques
- Experience with Workday and Greenhouse preferred
- 4+ years of experience in an analytics role, with People Analytics, Recruiting Analytics, or a closely related function preferred
- Experience developing reporting and dashboards with BI 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 employee surveys
- Strong data visualization and storytelling skills
- Excellent written and verbal communication skills, including the ability to develop and deliver presentations for senior and executive audiences
- Organized and detail-oriented, with the ability to produce clear, well-documented reference materials