Data Analyst, Product

GitLab
Remote, North AmericaPosted 14 March 2026

Tech Stack

Job Description

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 Product Data Analyst on GitLab's Product Data Insights team, you'll help product teams make better decisions through trusted data and clear analysis. Working closely with Product Managers, Engineering, UX, and leadership, you'll examine customer behavior across the customer journey to improve both the customer experience and business outcomes. In this role, you'll build business intelligence solutions, define and maintain product key performance indicators, and turn usage data into insights that support strategic decisions. This role focuses on GitLab's Platforms sections, an important area that helps ensure GitLab's infrastructure can scale over time. You'll also support our Dedicated offering by exploring usage and behavioral patterns across that deployment type. In GitLab's all-remote, asynchronous environment, you'll contribute to a transparent, values-driven culture where data storytelling helps teams understand product health and act with confidence. What you'll do Collaborate with stakeholders ranging from individual contributor Product Managers to leadership to understand business questions and define the right analytical approach. Gather data from multiple sources and connect disparate data points into a clear story about product usage, customer behavior, and product health. Establish reporting for new products and features, including defining metrics and building repeatable analysis that teams can use to track adoption and performance. Analyze usage patterns within GitLab's Platforms sections to help teams understand how this area is performing and where improvements may be needed. Explore behavioral trends for the Dedicated offering to surface insights that can inform product decisions and the customer experience. Partner with UX to better understand user behavior and support research with quantitative analysis. Work with Engineering teams on data collection and instrumentation approaches so product usage can be measured accurately and consistently. Collaborate with Analytics Engineers on data modeling needs for reporting and analysis, helping ensure the underlying data supports reliable decision-making. What you'll bring Advanced SQL skills and the ability to use data to answer complex product questions with clarity and accuracy. Experience building business intelligence visualizations and dashboards, ideally in Tableau or a similar tool. Experience working directly with Product and Engineering teams on data creation, instrumentation, and measurement strategy. Experience partnering with Data and Analytics Engi ... (truncated, view full listing at source)
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