Manager, Analytics Engineering

GitLab; United States; Remote; USD 106,000 - 228,000; Full time

Job summary

GitLab is seeking a Manager, Analytics Engineering to lead a high-performance team that delivers integrated data products. The role requires blending business acumen and technical expertise to support senior leadership in driving product adoption through robust data insights and analytics solutions.

Benefits

Flexible Paid Time Off

Equity Compensation & Employee Stock Purchase Plan

Growth and Development Fund

Parental leave

Home office support

All remote, asynchronous work environment

Qualifications

• 5+ years hands-on experience in a data analytics/engineering/science role.
• 2+ years performing quantitative analysis with a focus on feature and usage metrics.
• 1+ years leading a team of 3 or more data analysts/engineers/scientists.

Responsibilities

• Manage and develop a high-performance Analytics Engineering team.
• Translate data insights into data models powered by the Enterprise Data Platform.
• Implement DataOps philosophy in operational components.

Skills

Data Analytics

Team Leadership

Quantitative Analysis

SQL

Data Modeling

Job description

GitLab is an open core software company that develops the most comprehensiveAI-powered DevSecOps Platform, used by more than 100,000 organizations. Ourmissionis 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 ouroperationson our product and staying aligned with ourvalues. Learn more aboutLife at GitLab.

Thanks to products likeDuo Enterprise, andDuo 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

How GitLab will support you

• 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.

The base salary range for this role’s listed level is currently for residents of listed locations only. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

California/Colorado/Hawaii/New Jersey/New York/Washington/DC/Illinois/Minnesota pay range $106,400 — $228,000 USD

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See alsoGitLab’s EEO PolicyandEEO is the Law. If you have a disability or special need that requiresaccommodation, please let us know during therecruiting process.