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.
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.
GitHub values
Manager fundamentals
Leadership principles
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