Data Analyst

GitHub; United States; Remote; USD 86,000 - 228,000; Full time

Job summary

GitHub is seeking a Data Analyst, Revenue Intelligence to turn complex customer, product, usage, and revenue data into scalable analytics and insights across Revenue, Product, and Engineering. This role emphasizes data quality and cross-functional collaboration.

You will build metrics and dashboards with Power BI and Fabric, explore AI-powered analytics, and partner with multiple teams to drive data-informed decisions.

Qualifications

• 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
• 3+ years experience solving real-world business and data problems with code.
• 3+ years experience with Microsoft Fabric, Power BI, or similar modern data and analytics platforms.
• 3+ years of hands-on experience in data modeling, semantic model development, KPI definition, and data visualization using tool.

Responsibilities

• Develop and maintain key revenue, customer, product usage, and SaaS metrics.
• Build modern analytics experiences using Microsoft Fabric, Power BI, Fabric Apps, and semantic models.
• Explore and develop AI-powered and agentic analytics experiences grounded in trusted enterprise data and business definitions.
• Create reusable data models, analytical products, and dashboards tied to business and product goals.
• Partner with Revenue, Product, Engineering, Finance, and Marketing to define metrics and uncover actionable insights.
• Collaborate with Data Engineering and Data Science on ETLs, data pipelines, data quality, and scalable analytical datasets.
• Analyze customer behavior, product adoption, sales performance, consumption, and revenue trends to inform strategy.
• Communicate complex findings clearly to technical and business stakeholders.

Skills

Data analysis experience

Code-based problem solving

Python

Education

Bachelor's degree in Statistics, Mathematics, Analytics, Data Science, Engineering, CS, Business, Economics or related field

Equivalent experience

Tools

Microsoft Fabric

Power BI

Kusto/KQL

Spark

Airflow

Job description

Data Analyst

United States

Data & Analytics

Individual Contributor

Full Time

About GitHub

GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.

Locations

In this role you can work from Remote, United States

Overview

GitHub helps companies, organizations, and developers succeed by enabling them to build better software, together. We’re looking for a Data Analyst, Revenue Intelligence to help build trusted analytics, data products, and insights across our Revenue, Product, and Engineering organizations.

This role will work across business and technical teams to turn complex customer, product, usage, and revenue data into scalable analytics and actionable insights. In addition to strong analytical and technical skills, the ideal candidate will have exceptional attention to detail, business judgment, and the ability to work across multiple stakeholders.

Responsibilities

• Develop and maintain key revenue, customer, product usage, and SaaS metrics.


• Build modern analytics experiences using Microsoft Fabric, Power BI, Fabric Apps, and semantic models.


• Explore and develop AI-powered and agentic analytics experiences grounded in trusted enterprise data and business definitions.


• Create reusable data models, analytical products, and dashboards tied to business and product goals.


• Partner with Revenue, Product, Engineering, Finance, and Marketing to define metrics and uncover actionable insights.


• Collaborate with Data Engineering and Data Science on ETLs, data pipelines, data quality, and scalable analytical datasets.


• Analyze customer behavior, product adoption, sales performance, consumption, and revenue trends to inform strategy.


• Communicate complex findings clearly to technical and business stakeholders.

Qualifications

Required Qualifications

• 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis


• o OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis


• o OR equivalent experience


• 3+ years experience solving real-world business and data problems with code.


• 3+ years experience with Microsoft Fabric, Power BI, or similar modern data and analytics platforms.


• 3+ years of hands-on experience in data modeling, semantic model development, KPI definition, and data visualization using tool.

Preferred Qualifications

• Experience with Fabric Apps, Kusto/KQL, Spark, Airflow, or modern cloud data platforms.


• Experience building or integrating AI, copilots, agents, or natural-language analytics.


• Experience with SaaS, subscription, consumption, or product usage analytics.


• Experience with Python and ETL/data pipeline development.


• Experience working with Salesforce or other CRM and business systems.

Compensation Range

The base salary range for this job is USD $85,800.00 - USD $227,600.00 /Yr.