Staff Data Analyst
As a Staff Data Analyst, you'll turn raw data into actionable insights to inform strategic decisions across GitLab's global Support Engineering organization.
Posted by employer 1 day ago
First seen on Joblaze 9 hours ago
Last verified on the company career page 9 hours ago
Skills & Technologies
What you'll build
- Own annual operating plan and capacity planning through data modeling and validation
- Build and maintain utilization and team-performance scorecards
- Analyze Support Economics, including cost-per-ticket modeling
- Develop performance indexes and heatmaps
- Lead dashboarding for AI adoption and return on investment
Must have
- Experience as a business intelligence analyst, analytics engineer, or in a similar data role
- Fluency in SQL, including complex multi-table joins
- Hands-on experience building dashboards and reports in business intelligence tools
Nice to have
- Experience with large language model-based tools
- Experience in artificial intelligence and machine learning workflows
AI in the day-to-day
All team members are expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Data Analyst at GitLab, the individual will focus on transforming raw data into actionable insights that guide strategic decisions within the Support Engineering organization. Key skills include proficiency in SQL and experience with business intelligence tools like Tableau or Looker, as well as a background in analytics within a technology or SaaS environment. This position is well-suited for someone with a strong analytical mindset who can navigate complex data challenges and communicate findings effectively to diverse stakeholders. The role emphasizes collaboration across various teams in a fully remote setting.
Joblaze insights
- Listed today — first seen on Joblaze October 2, 2026. Last confirmed on GitLab's careers page October 2, 2026.
Quick facts
- Is the Staff Data Analyst role remote?
- Yes — GitLab lists this as a fully remote position.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Looker, SQL, Tableau, Zendesk Explore.
- What seniority level is this role?
- GitLab targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Data Analyst role at GitLab.
From the original posting
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.
An overview of this role
As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems.
What you'll do
- Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions.
- Build and maintain utilization and team-performance scorecards, including automated alerting that surfaces trends in real time.
- Analyze Support Economics, including cost-per-ticket modeling, self-service savings, and product quality costs.
- Develop performance indexes and heatmaps that identify product areas and customers using the most support resources.
- Lead dashboarding for AI adoption and return on investment, measuring the business impact of AI-driven initiatives across Support Engineering.
- Partner with go-to-market teams on predictive analytics and churn-prevention models that identify at-risk customers.
- Define and refine unified customer-schema requirements to create consistent data across systems and a single source of truth.
- Deliver Monthly Business Review telemetry, executive-ready reporting packages, recurring operational reports, and ad hoc analysis.
What you'll bring
- Experience as a business intelligence analyst, analytics engineer, or in a similar data role, ideally in a software as a service or technology company.
- Experience partnering with Technical Support, Business Operations, Product Engineering, or similar organizations.
- Fluency in SQL, including complex multi-table joins, grouping and aggregation, common table expressions, and conditional filters.
- Hands-on experience building dashboards and reports in Zendesk Explore, Tableau, Looker, or similar business intelligence tools.
- Translate ambiguous business questions into structured analytical frameworks.
- Present findings clearly to technical and non-technical stakeholders.
- Plan and prioritize work independently in a remote, cross-functional environment across time zones.
- You may also bring experience with large language model-based tools, artificial intelligence and machine learning workflows, durable data solutions, analytics frameworks, in-depth data analysis, or presenting to senior leaders and executives.
About the team
Our Support Engineering organization uses data to understand performance, improve customer outcomes, and improve operational practices. You'll partner across Support Engineering, go-to-market teams, Business Operations, and Product Engineering in an all-remote environment.
How GitLab Supports Full-Time Employees
Standard company text repeated across GitLab's postings is omitted here.