Note: The job is a remote job and is open to candidates in USA. GitHub is the world’s leading platform for agentic software development, and they are seeking an experienced Data Analyst with a focus on billing and revenue analytics. The role involves translating complex financial data into insights, developing analytical models, and collaborating across teams to drive data-driven solutions that impact the company's bottom line.

Responsibilities

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

Skills

• 3+ 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 1+ year(s) experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience
• 3+ years experience with in SQL, KQL, and/or Python for data querying and transformation
• 3+ years experience developing and maintaining ETL pipelines (Azure Data Factory, Airflow, or similar)
• 3+ years of experience with data visualization tools (Power BI, Tableau) and data storytelling best practices
• 5+ years of experience in data analysis or business intelligence
• Master'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

Benefits

• Certain roles are eligible for benefits and additional rewards, including annual bonus and stock
• 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
• Competitive pay
• Generous learning and growth opportunities
• Excellent benefits to support you, wherever you are

Company Overview

Company H1B Sponsorship