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.
These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
This position will be open for a minimum of 3 days, with applications accepted on an ongoing basis until the position is filled.
GitHub values
- Customer-obsessed
- Ship to learn
- Growth mindset
- Own the outcome
- Better together
- Diverse and inclusive
Manager fundamentals
Leadership principles
- Create clarity
- Generate energy
- Deliver success
Who We Are
GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.
Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are - because we know that people flourish when they can work on their own terms.
Join us, and let’s change the world, together.
EEO Statement
GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
- 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.
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.