GitLab is a complete DevOps platform, delivered as a single application, fundamentally changing the way Development, Security, and Ops teams collaborate and build software. From idea to production, GitLab helps teams improve cycle time from weeks to minutes, reduce development costs and time to market while increasing developer productivity.

We're the world's largest all-remote company with team members located in more than 65 countries. As part of the GitLab team, you can work from anywhere with good internet. You'll have the freedom to contribute when and where you do your best work.

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.