Engineering Analyst / Senior Engineering Analyst at GitLab Inc.

This Engineering Analyst or Senior Engineering Analyst, Engineering Analytics position is all-remote. 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.

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 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.
• Able to thrive in a fully remote organization.