Manager, Analytics Engineering

The Manager, Analytics Engineering sits at the intersection of Business Strategy, Analytics Engineering, and Data Engineering and is responsible for leading a team that brings robust, efficient, and integrated data products to life. The Manager, Analytics Engineering speaks the language of business teams and technical teams, able to translate data insights and analysis needs into data models powered by the Enterprise Data Platform. The successful Manager, Analytics Engineering is able to blend business acumen with technical expertise and transition between business strategy and data development. In this role, the incumbent will have an opportunity to drive impact on a large scale by leading a team that delivers trusted data that is used by Senior Leadership to power Customer Product Adoption at GitLab.

What You’ll Do  

• Manage, lead, and develop a high-performance Analytics Engineering team, including day-to-day assignments, bi-weekly milestone planning, 1-1s, quarterly objectives, and annual reviews
• Understand the big picture and demonstrate how your team supports it through prioritization, planning, and solutioning
• Player/Coach that can both lead a team of expert data modelers and make hands on contributions to the Enterprise Data Model
• Help create a leading Data Program to support GitLab’s vision
• Manage operational components of the Data Platform to ensure updated data are available per established SLOs
• Implement the DataOps philosophy in everything you do
• Continuously develop the Data Team Handbook to ensure it represents the current state of our strategy, processes, and operations

What You’ll Bring 

• Share our values, and work in accordance with those values
• 5+ years hands on experience in a data analytics/engineering/science role
• 2+ years hands on experience performing quantitative analysis to tackle business problems with a focus on feature and usage metrics to increase conversion and retention
• 1+ years hands on experience creating dimensional models composed of facts and dimensions
• 1+ years leading or managing a team of 3 or more data analysts/engineers/scientists
• Demonstrate ability to understand and communicate end-to-end data systems: from compute to ELT to Reporting to Analysis
• Exceptional experience creating and developing partnerships with internal team members towards delivery of impactful analytics solutions
• Experience defining and executing project plans at the day, week, and month time spans
• Demonstrably deep understanding of SQL and relational databases (we use Snowflake)
• Experience working with large quantities of raw, disorganized 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.