Data Analyst, Github

• 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

Desirable

• 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
• 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