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.
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 Success, Product, Marketing, etc.)
- Proficiency with a business intelligence tool(s) (we use Tableau)
- Effective communication and collaboration skills
- Ability to thrive in a fully remote organization
- Positive and solution-oriented mindset
About the team
The Enterprise Data Team collaborates with every department at GitLab to develop trusted data products and responsibly harness the power of our data.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
- 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
- Parental leave
- Home office support
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.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
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