GitLab

Senior Analytics Engineer

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, DevSecOps, AIIndustries

GitLab Job Description: Analytics Engineer

Position Overview

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 human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits 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, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

Analytics Engineers sit at the intersection of business teams, Data Analytics and Data Engineering and are responsible for bringing robust, efficient, and integrated data models and products to life. Analytics Engineers speak the language of business teams and technical teams, they are able to translate data insights and analysis needs into models powered by the Enterprise Data Platform. The successful Analytics Engineer is able to blend business acumen with technical expertise and transition between business strategy and data development.

Responsibilities

  • Serve as the Directly Responsible Individual for major sections of the Enterprise Dimensional Model
  • Design, develop, and extend dbt code to extend the Enterprise Dimensional Model
  • Approve data model changes as a Data Team Reviewer and code owner for specific database and data model schemas
  • Provide data modeling expertise to all GitLab teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and Tableau.
  • Own one or more stakeholder relationship in Go To Market, Research & Development, or General & Administrative business functions
  • Serve as Data Model subject matter expert and data model spokesperson, demonstrated by the ability to address questions quickly and accurately
  • Advocate for the Data Quality Program and Trusted Data to help ensure all data is profiled, reviewed, and accurate to support critical decisions
  • Guide Work Breakdown Sessions
  • Organize and Plan quarter-long development initiatives per the Data Team Planning Drumbeat

Requirements

  • 6+ years in the Data space as an analyst, engineer, scientist, or equivalent
  • 2+ years managing the same data model system over time, evolving the model to meet new business requirements
  • Demonstrated experience leading 4 or more analytics projects from beginning to operationalization
  • Demonstrated experience designing and socializing Entity Relationship Diagrams and reference SQL scripts to scale data acumen and adoption
  • Experience working with multiple commercial data warehouses, ETL tools, and data visualization tools
  • Extensive experience in 2 or more major data subject areas (marketing, sales, finance, product, people, etc.)
  • Ability to use GitLab
  • Ability to thrive in a fully remote organization
  • Positive and solution-oriented mindset
  • Comfort working in a highly agile, intensely iterative environment
  • Self-motivated and self-managing, with task organizational skills
  • Great communication: Regularly achieve consensus amongst technical and business teams
  • Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations

Company Information

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 human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.

GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

Skills

dbt
Data Modeling
Data Engineering
Analytics
Business Acumen
Technical Expertise

GitLab

Unified DevOps platform for software development

About GitLab

GitLab offers a DevOps platform that simplifies the software development process by providing a single application for collaboration, visibility, and speed. The platform integrates various tools needed for software development, which helps teams manage their projects more efficiently without juggling multiple tools. This allows companies to concentrate on enhancing their products instead of spending too much time on builds. GitLab serves a wide range of clients, including large corporations from different industries, demonstrating its versatility. The company operates on a subscription-based model, where clients pay for access to the platform, which includes features for continuous integration and deployment. GitLab also provides free trials and regularly updates its platform to deliver ongoing value to its users. By customizing its offerings and partnering with other technology providers, GitLab aims to enhance its ecosystem and drive revenue.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$421.8MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
1,001-5,000Employees

Benefits

Spending Company Money
Equity Compensation
Life Insurance
Financial Wellness
Paid Time Off
Growth and Development Benefit
GitLab Contribute
Business Travel Accident Policy
Immigration
Employee Assistance Program
Incentives
All-Remote
Part-time contracts
Meal Train
Fertility & Family Planning
Parental Leave

Risks

AI-powered coding assistants like Claude pose a competitive threat to GitLab's platform.
Potential sale to Datadog may lead to strategic shifts misaligned with customer expectations.
Integration of Oxeye may distract from GitLab's core DevOps offerings.

Differentiation

GitLab offers a unified DevOps platform, reducing complexity in software development.
The platform integrates tools for collaboration, visibility, and speed, enhancing development processes.
GitLab's open-source model fosters continuous innovation with a large developer community.

Upsides

Acquiring Oxeye enhances GitLab's cloud security, appealing to security-conscious enterprises.
Partnership with Ooredoo Kuwait expands GitLab's influence in the telecommunications sector.
Potential sale to Datadog could create strategic synergies and expand market reach.

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