Senior Data Analyst

As a Senior Data Analyst, you will own the end-to-end development process for data analysis - from business requirements gathering, to data wrangling, to the execution and delivery of analyses including actionable insights and recommendations. 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 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

What you’ll bring 

• 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

About the Team

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). The Enterprise Data Team collaborates with every department at GitLab to develop trusted data products and responsibly harness the power of our data. 

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• 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.