Data Analyst, Customer Intelligence

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps 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. 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.

An overview of this role

As an Analyst focused on Customer Intelligence products, you will own the end-to-end development process for data products - from business requirements gathering, to dashboard development, to the delivery of actionable insights and recommendations. You will develop a deep understanding of our user base and their customer journey, collaborating closely with our Go-To-Market and Product teams to break ground on new analyses and evolve our insights & analytics capabilities. 

You will be in a highly cross-functional role with opportunities to partner with GitLab team members, both within the Enterprise Data Team (including Data Engineers, Analytics Engineers, and Data Scientists) as well as with our functional partners (including Sales, Marketing, Finance, Customer Success, and Product).

What you’ll do  

• Collaborate cross-functionally to deeply understand business questions about our collective customer base and their usage of our product, and design single-source-of-truth reports and dashboards to address them
• Explore data to uncover insights and opportunities, in particular, understanding the customer journey and customer product feedback, and identifying opportunities for growth/improvement
• Craft dashboards that meet our internal standards for style, maintainability, and best practices for a high-scale analytics environment.
• Experiment with GenAI tooling, in partnership with the Data Platform team, to find opportunities to increase speed to insight by enabling end users to engage with data products in a conversational way
• Partner with Data Engineering & Analytics Engineering to provide requirements for product & customer data creation and model development
• Influence and contribute to the long-range strategy and goals of the Analytics team
• Advocate for improvements to data quality, security, and performance across the data lifecycle
• Serve as a Subject Matter Expert (SME) for data visualization and analysis, providing support to other GitLab analysts through code reviews, pairing, and training to help deliver optimal analyses and reports
• Support business teams to maximize the value derived from customer and behavioral data

What you’ll bring 

• 3-5+ years of experience in an analytics role, with experience analyzing product usage and customer journey/stages for a SaaS product
• Experience combining data attributes from various systems (i.e., Marketing, Product, ERP, CRM, etc.) to develop a unified view of the customer lifecycle. Our data includes GitLab.com, Salesforce, Zuora, Zendesk, Marketo, NetSuite, Snowplow, and many others (see the Data Team page)
• Ability to write complex SQL, including multi-table joins, grouping and aggregation, common table expressions, and conditional filters
• Ability to clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions
• Ability to collaborate with, and build relationships with, a diverse set of stakeholders (Customer Succes