Senior Data Analyst

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.

This role will specifically focus on collaborating with senior leaders, business stakeholders, and other members of the Data team to generate trusted analytics and insights to measure company performance, with expected outcomes of: reducing time to insight (making it faster and easier for internal users to find reporting for critical metrics) and increasing internal alignment (partnering with analysts & the data governance team to establish clear enterprise reporting definitions and documentation).

Responsibilities

• Collaborate cross-functionally to deliver high-impact analytical insights that drive strategic business decisions
• Maintain strong relationships with business stakeholders and leadership across the organization
• Collaborate effectively with teams across finance, product, marketing, sales, and engineering to deliver integrated insights
• Partner with Data team leadership and business stakeholders to prioritize analytical work based on business impact
• Craft analyses, reports, and dashboards that meet our internal standards for style, maintainability, and best practices for a high-scale analytics environment. Maintain and advocate for these standards through code review
• Experiment with tooling and technologies, including GenAI capabilities, to improve the experience of data users at GitLab
• Contribute to and influence 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

Requirements

• 5+ years experience in an analytics role with a track record of directly influencing business outcomes through data, preferably in one or more of the following business subject areas: finance, sales, marketing, product, customer success. Prior experience in a SaaS environment is strongly preferred.
• Ability to select and implement the appropriate analytical solution for a given scenario (i.e. determining when a business question is best addressed through a one-off analysis, a flexible dataset for slicing/dicing, or the delivery a standardized dashboard/report)
• Fluency in SQL within analytical data warehouses (we use Snowflake) and in business intelligence tools (we use Tableau)
• Ability to write complex SQL including multi-table joins, grouping and aggregation, common table expressions, and conditional filters
• Experience working with a variety of complex data sources. Our data includes GitLab.com, Salesforce, Zuora, Zendesk, Marketo, NetSuite, Snowplow and many others (see the Data Team page)
• Ability to clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions
• Ability to effective communication and collaboration skills
• Ability to thrive in a fully remote organization
• Positive and solution-oriented mindset

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