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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.
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. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$94,100—$201,600 USD
How GitLab Supports Full-Time Employees
- 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.
**Country Hiring Guidelines: **GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
**Privacy Policy: **Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.