Engineering Analyst

This Engineering Analyst or Senior Engineering Analyst, Engineering Analytics position is all-remote. Engineering Analysts at GitLab build and improve on the data analysis needed to support a highly productive 500+ person Engineering Division distributed around the world. They equip our Engineering leaders with actionable metrics and performance indicators to make better decisions such as merge request rates, age of current open security vulnerabilities and GitLab.com availability/uptime. They work closely with GitLab’s separate Data team to ingest new data capabilities that drives our analysis and visualizations. Here is a list of internal engineering metrics the team is currently supporting which has a big impact on the company and visibility into each of our engineering VPs. 

What you'll do in this role

• Create data queries that provide actionable data-driven insights.
• Create actionable, concise, and presentable data visualizations.
• Continuously improve the accuracy and efficiency of Engineering Departments' performance indicators.
• 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 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.
• Interface with leaders to provide timely, accurate and relevant data.
• Document Engineering Analytics team process in the handbook.

What you'll need to apply

• A track record of using quantitative analysis to generate insights, and drive better engineering operational excellence.
• 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.
• Able to thrive in a fully remote organization.

We're aware the confidence gap exists so we want to encourage you to apply even if you do not match all of the requirements exactly. The above list is intended to show the kinds of experience and qualities we're looking for. It is not a complete list of pre-required skills.

Diversity, Inclusion, and Belonging (DIB) are fundamental to the success of GitLab. We want to infuse DIB in every way possible and in all that we do. We strive to create a transparent environment where all team members around the world feel that their voices are heard and welcomed. We also aim to be a place where people can show up as their full selves each day and contribute their best. With more than 100,000 organizations using GitLab, our goal is to have a team that is representative of our users.