Jobs and Careers

Manager, Analytics Engineering

Remote, AmericasRemotefull_timeVerifiedPosted 6 Jun 2025

💰 $228,000/yr($106,400/yr – $228,000/yr)

About the role

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 the rate of human progress. This mission is integral to our culture, influencing how we hire, build products, and lead our industry. We make this possible at GitLab by running our operations on our product and staying aligned with our values. Learn more about Life at GitLab.

Thanks to products like Duo Enterprise, and Duo Workflow, customers get the benefit of AI 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. All team members are encouraged and expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact across our global organisation.

An overview of this role

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