About the company
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
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.
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.
- 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.
Conditions
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Home office support
- Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
- The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location.