Senior Data Analyst, Marketing Analytics

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. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As a Senior Data Analyst, Marketing Analytics at GitLab, you'll serve as a strategic analytics partner to Marketing leadership and help shape how we measure, model, and improve marketing performance. Reporting to the Senior Manager of Marketing Analytics, you'll take ownership of high-impact analytical work across attribution, inbound funnel analysis, target setting, and campaign measurement. You'll work across the full data lifecycle, from building and maintaining dbt models in Snowflake that power business intelligence, to delivering executive-ready insights, to partnering cross-functionally to support important business decisions. In this role, you'll use a modern analytics and AI-enabled workflow that includes Snowflake, Claude with MCP connections, and GitLab Duo Agent Platform in git-based team workflows. This is a high-visibility role for someone with strong SQL skills, sound judgment in B2B software marketing analytics, and the ability to turn complex data into clear stories for senior stakeholders in our all-remote, values-driven environment.

What you'll do

• Serve as a trusted advisor to senior Marketing and Developer Relations leaders, providing data-driven insights that inform marketing strategy, product development, and go-to-market decisions.
• Establish and scale proactive insights across the Marketing function, including experimentation and connecting marketing credit from initial touchpoints to annual recurring revenue.
• Measure the impact of community programs, developer advocacy, and evangelism efforts on awareness, adoption, and pipeline.
• Evaluate the effectiveness of demand generation programs, including trial conversion analysis across segments, lead scoring optimization, and outreach platform performance.
• Partner closely with Analytics Engineering and Data Platform teams to translate business questions into clear technical requirements and support reliable delivery in the analytics stack.
• Help evolve GitLab's multi-touch attribution approach, including attributed metric definitions and implementation across reporting.
• Contribute to annual planning cycles through partnership with Sales, Finance, and Product leadership.
• Use AI-enabled analytics workflows through GitLab Duo Agent Platform, Claude with MCP integrations, and Glean within GitLab to improve how insights are developed and shared.

What you'll bring

• 5+ years of experience in a data analyst or analytics engineer role, preferably in B2B software marketing analytics or in a large-scale analytics consultancy supporting similar companies.
• Strong proficiency in SQL, including the ability to connect disparate data sources and build a clear view of marketing program performance in a cloud data warehouse, ideally Snowflake.
• Experience working with senior leaders and tailoring data-driven narratives to support decision-making.
• Hands-on experience with dbt for data transformation, testing, and documentation.
• Strong understanding of B2B marketing funnel metrics, including marketing qualified leads, sales accepted opportunities, pipeline, multi-touch attribution, and conversion rate analysis.
• Experience working with marketing automation platforms such as Marketo and customer relationship management systems such as Salesforce, including data integration patterns and sync logic.
• Proficiency with a business intelligence and visualization tool, with Tableau preferred.
• Excellent written and verbal communication skills, with the ability to distill complex analysis into clear narratives for technical and non-technical audiences.
• Experience with AI-assisted analytics development, including MCP connections and agentic workflows.
• Familiarity with Git workflows for version control, continuous integration and continuous delivery, issue tracking, and merge request workflows.
• Comfort working in a remote, async-first, globally distributed environment.
• We know it's tough to match every qualification exactly, so if you're excited about this role, we encourage you to apply.

About the team

The Marketing Analytics team sits within GitLab's Enterprise Data organization and partners closely with the broader Marketing team as well as other departments across GitLab. We build and maintain trusted, scalable data products that help inform strategic decisions for Marketing while also creating alignment with related business metrics, especially across Product and Sales. You'll join a fully remote team that collaborates asynchronously across time zones using our shared standards, code review, and documentation to support consistency and quality. We work on analytically complex, high-impact problems where strong data foundations, clear definitions, and thoughtful cross-functional partnerships are essential to helping stakeholders understand performance and make better decisions.