Product Analysts at GitLab are curious, highly strategic, and focused on making GitLab better through trusted data insights. Working with product teams, they look at customer behaviors across the customer journey and help make the customer experience and business outcomes better. As a member of the product data analysis team, the successful candidate will develop BI solutions to understand usage activity, create and own multiple Product Key Performance Indicators, develop a deep understanding of product health and the customer experience, advance data acumen across the company, and promote strategic decisions through data storytelling.

Responsibilities

• Perform strategic and ad-hoc data work in support of Product Managers
• Identify opportunities in data to accelerate product adoption, retention, engagement, and/or monetization
• Develop dashboards and define metrics that inform success for the Product Team
• Help design, execute and evaluate A/B tests to improve the user journey
• Explore large, complex, and loosely defined datasets to create actionable insights
• Serve as the Technical DRI for the Product Key Performance Indicators
• Serve as the Business DRI for the Product areas of the Enterprise Dimensional Model – the future of Trusted Data @ GitLab
• Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data projects
• Develop user archetypes and build dashboards to demonstrate their usage patterns
• Capture and document data user stories, use cases, and workflows
• Craft code that meets our internal standards for style, maintainability, and best practices
• Operate in an iterative mindset, focused on delivering improvements and value at high velocity
• Document every action in either issue/MR templates, the handbook, or READMEs so your learnings turn into repeatable actions and then into automation following the GitLab tradition of handbook first!
• Work collaboratively with product team members such as: Product Managers, Engineering, Design, as well as with Data team members such as Data Analysts and Data Engineers

Requirements

• Experience leveraging descriptive and predictive data techniques (Typically 5+ years for Senior)
• Experience focused on feature and usage metrics, A/B testing, conversion and retention, segmentation, and developing user archetypes and their usage patterns
• Experience uncovering data insights to form hypothesis, designing product experiments, evaluating results and making recommendations
• Advanced Level SQL
• Advanced BI dashboard development (we use SiSense)
• Experience working with a Data Warehouse built using Kimball dimensional modeling
• Ability to design, document, and communicate models using Entity Relationship Diagrams
• Able to read Ruby to trace data flows and code paths
• Comfort working in a highly agile, intensely iterative software development process
• Effective communication skills: Regularly achieve consensus with peers, and clear status updates
• Experience owning a project from concept to production, including proposal, discussion, and execution
• Self-motivated and self-managing, with strong organizational skills
• Share our values, and work in accordance with those values
• Ability to thrive in a fully remote organization, being collaborative and supportive
• Ability to use GitLab
• Previous experience supporting product or growth team
• Comfortable with fast-pace and ambiguity in a start-up environment

Hiring Process

Candidates for this position can expect the hiring process to follow the order below. Please keep in mind that applicants can be declined from the position at any stage of the process. To learn more about someone who may be conducting the interview, find their job title on our team page.

• Selected candidates will be invited to schedule a screening call with one of our Global Recruiters
• Next, selected candidates will be asked to complete a written Assessment
• Next, selected candidates will be invited to interview with a Manager, Product Analytics
• Next, selected candidates will be invited to interview with a Product Analyst
• Next, candidates will be invited to interview with a Product Manager, Growth
• Finally, selected candidates will be invited to interview with our Director of Product, Growth

Additional details about our process can be found on our hiring page.

Compensation

To view the full job description and its compensation calculator, view our handbook. The compensation calculator can be found towards the bottom of the page.

Additional details about our process can be found on our hiring page.