LOCATIONS

In this role you can work from Remote, United States
Overview
GitHub helps companies, organizations, and communities build better software, together. We are seeking an experienced Data Analyst, with a focus on billing and revenue analytics, to apply in-depth knowledge of our financial data landscape to proactively identify opportunities and influence key business outcomes. As a trusted advisor to finance and business stakeholders, you will guide senior level decision making by translating complex billing, transactional, and revenue data into compelling stories through dashboards and visualizations that illuminate financial trends and performance. You will take the lead in developing efficient, reusable, and self-service analytical models related to revenue recognition and billing accuracy, establishing yourself as an expert in our financial data sources, quality, and governance. This role requires you to champion best practices in data integrity and collaborate across teams to orchestrate the execution of data driven solutions that directly impact our bottom line.

REQUIRED QUALIFICATIONS

• 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• 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
• OR equivalent experience.
• 5+ years experience with in SQL, KQL, or Python for data querying and transformation
• 5+ years experience developing and maintaining ETL pipelines (Azure Data Factory, Airflow, or similar)
• 5+ years of experience with data visualization tools (Power BI, Tableau) and data storytelling best practices

PREFERRED QUALIFICATIONS

• 7+ years of experience in data analysis or business intelligenceMaster’s degree in a relevant field
• Consulting experience or prior work in a high-growth SaaS company
• Familiarity with Salesforce, Workday, and other enterprise data sources
• Solid understanding of SaaS and revenue metrics
• Expertise with data visualization tools

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.

• Reporting and sharing results: Develop, maintain, and enhance reporting on revenue across products, geographies, and segments to identify growth drivers, performance trends, and areas of risk.
• Customer/Stakeholder engagement: Partner with Sales Ops and Finance to analyze sales commissions, quota attainment, and incentive plan effectiveness, providing insights to optimize compensation strategies.
• Sales Pipeline to Revenue Insights: Build models and dashboards that connect pipeline metrics, bookings, and billed revenue outcomes, enabling leadership to forecast with greater accuracy.
• Data Model Evaluation: Consolidate and align data from Salesforce, billing platforms, and financial systems to create a single source of truth for revenue and commission reporting.
• Territory & Quota Planning Support: Provide data-driven recommendations for territory alignment, quota setting, and incentive plan design based on historical revenue performance and market potential.
• Executive Reporting: Deliver clear, concise, and actionable revenue and commission insights to senior leadership through dashboards, scorecards, and presentations.
• Operational Efficiency: Automate recurring revenue and commission reports, ensuring accuracy, timeliness, and scalability for self-service use across the business.
• Compliance & Governance: Ensure commission and revenue reporting adheres to internal controls, audit requirements, and data privacy regulations.