GitLab - Senior Data Analyst, Enterprise Analytics
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Requirements
• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders. • go-to-market and executive stakeholders • Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views. • Snowflake • Snowflake • Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices. • executive-facing dashboards • Tableau • Tableau • Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics. • new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics • Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality. • GenAI tools • GenAI tools • Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences. • presentations, written narratives, and data visualizations • Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently. • all-remote, asynchronous environment • Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles. • GitLab's values • GitLab's values • Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required. • The Enterprise Analytics 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 Snowflake, Salesforce, GitLab, and other business platforms into actionable insights and self-service reporting that support operating reviews and strategic decision-making. You'll join a fully remote, globally distributed team 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 company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions. • Enterprise Analytics • Snowflake, Salesforce, GitLab, and other business platforms • fully remote, globally distributed team • company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions • 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 • 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. • Country Hiring Guidelines:
Responsibilities
• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion. • executive-facing scorecards • Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns. • Tableau Cloud • Tableau Cloud • Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders. • Analytics Engineering • Data Engineering • Data Engineering • Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used. • metric logic, data lineage, and Tableau usage patterns • Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting. • data quality checks and reconciliations • Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses. • Revenue Operations, Finance, and go-to-market analysts and stakeholders • Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster. • SQL, data visualization, and go-to-market analytics
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