Engineering Analyst
Engineering Analysts at GitLab build and improve on the data capabilities needed to support a highly productive Engineering Division. They equip Engineering leaders with metric intelligence and actionable performance indicators. They work closely with GitLab’s Data team to enable new data capabilities that drives our analysis and visualizations.
Responsibilities
- Create data queries that provide actionable data-driven insights.
- Create actionable, concise, and presentable data visualizations
- Ensure accuracy of Performance Indicators in the Engineering Division and all it’s departments.
- Continuously improve the accuracy and efficiency of Engineering Departments’ performance indicators.
Requirements
- Self-motivated and self-managing, with strong organizational skills.
- Share our values, and work in accordance with those values.
- A track record of using quantitative analysis to generate insights, and drive better organizational decision making.
- Clear and concise communication, able to convey complex business logic, and analytical recommendations to stakeholders.
- Deep understanding of SQL and track record of hands-on SQL experience.
- Experience with Data Visualization Tools (E.g. Sisense, Looker, Tableau)
- Experience with performance and optimization problems at scale, demonstrate ability to diagnose and prevent these problems.
- Excellent analytical skills.
- Good understanding of data warehouses (e.g. Snowflake)
- Good understanding of data ingestion methodologies (e.g. ETL, ELT)
- Confidentiality in handling sensitive organizational information.
- Proficiency in the English language, with excellent written and oral communication skills.
- Working knowledge of Git and source control.
- Working knowledge of basic Ruby scripting.
- Working knowledge of HTML.
- Able to thrive in a fully remote organization.
- Able to use GitLab.
Nice to haves
- Experience in a peak performance organization
- Enterprise software company experience.
- Developer platform/tool industry experience.
Levels
Engineering Analyst
Engineering Analyst Job Grade
The Engineering Analyst is a grade 6.
Engineering Analyst Responsibilities
- Develop analytical models to provide data-driven guidance on business decisions.
- Develop utilization/forecasting models to predict future outcome of business or financial objective.
- Create visualizations that conveys Engineering metrics that are concise and easy to comprehend.
- Create SQL/Sisense code that meets our guidelines and coding standards.
- Explain trends from data sources and identify opportunities for improvements in the assigned Engineering Department.
- Understand business processes and policies of assigned Engineering Department.
- Manage, analyze and report on assigned Engineering Department’s Performance Indicators.
- Attend and ensure key-review readiness of assigned Engineering Department.
- Interface with leaders to provide timely, accurate and relevant data.
- Document Engineering Analytics team process in the handbook.
Senior Engineering Analyst
Senior Engineering Analyst Job Grade
The Senior Engineering Analyst is a grade 7.
Senior Engineering Analyst Responsibilities
The Senior Engineering Analyst role extends the Engineering Analyst role.
- Deliver data analytics and visualization with minimal guidance and support.
- Contribute to our SQL/Sisense guidelines and coding standards, make recommendations that improve our best practices and efficiency.
- Improve our handbook performance indicator pages content and guidelines.
- Contribute to data quality improvement efforts; review, optimize, and refactor data models for efficiency.
- Deep understanding of how data is created and transformed into Sisense visualization at GitLab.
- Understand data trends across Engineering data sources.
- Understand business processes and policies to improve Engineering processes and workflow.
- Document Engineering Division’s data-lifecycle and metrics framework in the handbook.
- An expert in data domain of assigned Engineering Department.
- Attend and ensure key-review readiness of assigned Engineering Department.
- Occasionally represent Engineering Analytics in broad company communication and announcements.
- Occasionally contribute to the company’s strategic Data direction in collaboration with the Data team.
- Influence the overall objectives and long-range goals of the Engineering Analytics team.
Staff Engineering Analyst
Staff Engineering Analyst Job Grade
The Staff Engineering Analyst is a grade 8.
Staff Engineering Analyst Responsibilities
The Staff Engineering Analyst role extends the Senior Engineering Analyst role.
- Coach and mentor other team members so they can confidently deliver data analytics and visualization with minimal guidance.
- Enforce and improve our SQL/Sisense guidelines and coding standards, review and make strategic improvements to achieve organizational objective.
- Advocate for and deliver improvements to data quality, security, model refactoring and query performance.
- Drive our handbook performance indicator pages’ efficiency, guidelines and maintenance efforts.
- Deep understanding of how data flows within GitLab and identify new data sources needed to unblock business objectives.
- Enforce and champion handbook-first documentation.
- Ensure broad organizational awareness of the Engineering Division’s data-lifecycle and metrics framework.
- An expert in data domains of two or more Engineering Departments.
- Attend and ensure key-review readiness of assigned Engineering Departments.
- Represent Engineering Analytics in broad company communication and announcements.
- Contribute to the company’s strategic Data direction in collaboration with the Data team.
- Drive innovation across GitLab and research new data analytics methodologies with minimal guidance and support from other team members.
- Create training guides, blog posts, templates, and recorded training sessions to help Team Members understand how to accurately view data and create insight.
- Maintain awareness and guide other Team Members about the implications of data-driven analysis in relation to legal and security constraints.
- Influence the overall objectives and long-range goals of the Engineering Analytics team.
Specialties
Development
- Merge Request Rate (known as Throughput outside of GitLab)
- Review Efficiency
Infrastructure
- Deep understanding of Infrastructure resource utilization, finance & forecast models.
- Deep understanding of the infrastructure vendor landscape and their cost models.
- Compute queries
- Data storage
- Capacity planning
- Business & finance intuition, interface and guide non-engineering partners on cost & contract management:
- Assist Legal in navigating vendor contracts.
- Assist Finance with contract management, provide clarity in decisions via modeling on present and future cost visibility.
- Understand Sales pipeline and it’s effect on GitLab.com Infrastructure.
- Deep understanding of Infrastructure data, common data framework, business processes and policies.
- Support Infrastructure with cost efficiency in service of GitLab.com and the rest of the company.
Quality
- Merge Request Rate (known as Throughput outside of GitLab)
- Review Efficiency
- Community Contributions
UX
- SUS Scores
- Deferred UX
Security
- Security Vulnerabilities
- Compliance levels
Support
- Cost of goods sold
- CapEx
Performance Indicators
- Engineering PI Content MR Rate
- Handbook MR Rate
- Open Engineering Analytics Issue Age
- Infrastructure Specialty:
Hiring Process
Candidates for this position can expect the hiring process to follow the order below. Please keep in mind that candidates 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 fill out a short questionnaire.
- Next, candidates will be invited to schedule a screening call with our Global Recruiters
- Next, candidates will be invited to schedule a first interview with the hiring manager.
- Next, candidates will be invited to schedule a second technical interview with an Engineering Analyst.
- Next, candidates will be invited to schedule a third interview with am additional member of the Engineering Analytics Team.
- Next, candidates will be invited to schedule a forth interview with an additional members of the GitLab Data Team.
- Finally, candidates may be asked to interview with the VP of Quality.
Additional details about our process can be found on our hiring page.
Career Ladder
For more details on the engineering career ladders, please review the engineering career development handbook page.
About GitLab
GitLab Inc. is a company based on the GitLab open-source project. GitLab is a community project to which over 2,200 people worldwide have contributed. We are an active participant in this community, trying to serve its needs and lead by example. We have one vision: everyone can contribute to all digital content, and our mission is to change all creative work from read-only to read-write so that everyone can contribute.
We value results, transparency, sharing, freedom, efficiency, self-learning, frugality, collaboration, directness, kindness, diversity, inclusion and belonging, boring solutions, and quirkiness. If these values match your personality, work ethic, and personal goals, we encourage you to visit our primer to learn more. Open source is our culture, our way of life, our story, and what makes us truly unique.
Top 10 Reasons to Work for GitLab:
- Mission: Everyone can contribute
- Results: Fast growth, ambitious vision
- Flexible Work Hours: Plan your day so you are there for other people & have time for personal interests
- Transparency: Over 2,000 webpages in GitLab handbook, GitLab Unfiltered YouTube channel
- Iteration: Empower people to be effective & have an impact, Merge Request rate, We dogfood our own product, Directly responsible individuals
- Diversity, Inclusion & Belonging: A focus on gender parity, Team Member Resource Groups, other initiatives
- Collaboration: Kindness, saying thanks, intentionally organize informal communication, no ego
- Total Rewards: Competitive market rates for compensation, Equity compensation, global benefits (inclusive of office equipment)
- Work/Life Harmony: Flexible workday, Family and Friends days
- Remote Done Right: One of the world's largest all-remote companies, prolific inventor of remote best practices
See our culture page for more!
Work remotely from anywhere in the world. Curious to see what that looks like? Check out our remote manifesto and guides.
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