Data Analyst, Customer Intelligence

Git Lab is an open-core software company that develops the most comprehensive AI-powered Dev Sec Ops  Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what’s possible in software development.

Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.

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. Git Lab 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.

As a Data Analyst, Customer Intelligence, you’ll own the end‑to‑end development of customer‑focused data products that help Git Lab teams understand and improve the customer journey. You’ll translate business questions from Go‑To‑Market and Product partners into clear requirements. You’ll explore product usage and feedback data and turn findings into dashboards, reports, and recommendations that support better decisions across Sales, Marketing, Customer Success, Finance, and Product.

Working within the Enterprise Data team, you’ll collaborate closely with Data Engineers, Analytics Engineers, and Data Scientists. You’ll experiment with GenAI tooling to increase speed to insight. You’ll also advocate for data quality, security, and performance as you shape the long‑term analytics strategy around our customers and their lifecycle.

• Collaborate with Go‑To‑Market, Product, and Enterprise Data teammates to translate business questions about the customer journey and product usage into clear analytical requirements.
• Design and build dashboards and reports that serve as a single source of truth and provide trusted visibility into customer lifecycle, behavior, and feedback.
• Explore and analyze data from sources such as , Salesforce, Zuora, Zendesk, Marketo, Net Suite, and Snowplow to uncover trends, risks, and opportunities for growth or improvement.
• Craft well‑structured, maintainable visualizations in Tableau that follow internal standards and support decision‑making at scale.
• Partner with Data Engineering and Analytics Engineering to define requirements for customer and product data models, shaping how data is collected, structured, and exposed.
• Experiment with generative AI tooling alongside the Data Platform team to enable conversational access to data products and reduce time to insight for stakeholders.
• Advocate for and contribute to improvements in data quality, security, and performance across the analytics lifecycle.
• Serve as a subject matter expert in data visualization and analysis by providing code reviews, pairing, and training to help other analysts deliver high‑quality insights.

• Experience in analytics roles focused on SaaS products, including analyzing product usage, customer journeys, and lifecycle stages.
• Background combining data from multiple business systems (for example, marketing automation, product analytics, ERP, CRM) to create a unified view of the customer.
• Proficiency writing complex SQL queries with joins, aggregations, common table expressions, and conditional logic.
• Skill in designing and building business intelligence dashboards (such as in Tableau) that are maintainable, scalable, and aligned to stakeholder needs.
• Ability to translate complex business questions into clear analytical approaches, and to communicate findings and recommendations in a concise, accessible way.
• Experience collaborating with…