Senior Data Analyst, Enterprise Analytics

<div class="content-intro"><p>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.</p> <p>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 <a href="https://handbook.gitlab.com/handbook/values/&quot;&gt;values&lt;/a> and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href="https://www.youtube.com/watch?v=OuZIb5zszQI&quot;&gt;Co-create the future with us</a> as we build technology that transforms how the world develops software.</p> <p>*<em>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.</em></p></div><h2>An overview of this role</h2> <p>As a <strong><strong class="textBold">Senior Data Analyst</strong></strong> on GitLab's <strong><strong class="textBold">Enterprise Analytics</strong></strong> team, you'll support some of GitLab's most visible go-to-market and executive reporting. You'll work closely with <strong><strong class="textBold">Sales, Marketing, Revenue Operations, Finance, and analytics partners</strong></strong> to deliver company-level reports, go-to-market performance views, and lifecycle reporting that leaders use to run the business. Working in <strong><strong class="textBold">Snowflake, dbt, Tableau, and VS Code</strong></strong>, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our <strong><strong class="textBold">Enterprise Analytics handbook</strong></strong> and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.</p> <h2>What you'll do</h2> <ul> <li value="1">Build and maintain <strong><strong class="textBold">executive-facing scorecards</strong></strong>, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.</li> <li value="2">Design performant, reusable <strong><strong class="textBold">Tableau Cloud</strong></strong> data sources and help shape the underlying <strong><strong class="textBold">dbt</strong></strong> models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.</li> <li value="3">Collaborate with <strong><strong class="textBold">Analytics Engineering</strong></strong> and <strong><strong class="textBold">Data Engineering</strong></strong> to improve dbt models that support reliable, scalable reporting for business stakeholders.</li> <li value="4">Document <strong><strong class="textBold">metric logic, data lineage, and Tableau usage patterns</strong></strong> in the handbook so stakeholders can understand how data products are built and used.</li> <li value="5">Implement and monitor <strong><strong class="textBold">data quality checks and reconciliations</strong></strong> across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.</li> <li value="6">Partner with <strong><strong class="textBold">Revenue Operations, Finance, and go-to-market analysts and stakeholders</strong></strong> to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.</li> <li value="7">Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.</li> <li value="8">Share best practices in <strong><strong class="textBold">SQL, data visualization, and go-to-market analytics</strong></strong>, including code reviews and pairing support on high-priority dashboards.</li> </ul> <h2>What you'll bring</h2> <ul> <li value="1">Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for <strong><strong class="textBold">go-to-market and executive stakeholders</strong></strong>.</li> <li value="2">Advanced <strong><strong class="textBold">SQL</strong></strong> skills working with large, complex data models, preferably in <strong><strong class="textBold">Snowflake</strong></strong>, including joining many tables and building reusable queries and views.</li> <li value="3">Proven experience building <strong><strong class="textBold">executive-facing dashboards</strong></strong> in <strong><strong class="textBold">Tableau</strong></strong> or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.</li> <li value="4">Deep understanding of go-to-market concepts such as <strong><strong class="textBold">new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics</strong></strong>.</li> <li value="5">Strong command of <strong><strong class="textBold">GenAI tools</strong></strong> for daily use in your work and the judgment to use them effectively to improve speed and quality.</li> <li value="6">Ability to communicate complex analyses in a clear, concise way through <strong><strong class="textBold">presentations, written narratives, and data visualizations</strong></strong> for both technical and non-technical audiences.</li> <li value="7">Comfort working in an <strong><strong class="textBold">all-remote, asynchronous environment</strong></strong>, with a high level of ownership and the ability to drive work forward independently.</li> <li value="8">Alignment with <strong><strong class="textBold">GitLab's values</strong></strong> and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.</li> <li value="9">Experience with <strong><strong class="textBold">dbt</strong></strong> and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.</li> </ul> <h2>About the team</h2> <p>The <strong><strong class="textBold">Enterprise Analytics</strong></strong> team is a centralized, cross-functional partner to GitLab's go-to-market organization and executive leadership. The team turns data from systems such as <strong><strong class="textBold">Snowflake, Salesforce, GitLab, and other business platforms</strong></strong> into actionable insights and self-service reporting that support operating reviews and strategic decision-making. You'll join a <strong><strong class="textBold">fully remote, globally distributed team</strong></strong> that collaborates asynchronously to define shared metrics and deliver reporting that leaders can trust. We document our strategy and processes in the handbook so stakeholders can use data more independently. The team is currently focused on scaling <strong><strong class="textBold">company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions</strong></strong>.</p><div class="content-conclusion"><h4><strong>How GitLab Supports Full-Time Employees</strong></h4> <ul> <li><a href="https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/&quot;&gt;Benefits to support your health, finances, and well-being</a></li> <li><a href="https://handbook.gitlab.com/handbook/people-group/paid-time-off/&quot;&gt;Flexible Paid Time Off</a>&nbsp;<