Revenue Data Analyst

Overview

• Contribute to the development and maintenance of revenue calculation logic using Databricks and SQL.
• Collaborate with finance teams to ensure accurate revenue processing and compliance.
• Support data integration from billing systems such as Salesforce and Workday.
• Participate in code reviews and team learning sessions to enhance development practices.
• Document processes and maintain audit readiness for financial data operations.
• Ensure enterprise data quality through automated audits and validation mechanisms.
• Collaborate with cross-functional teams to define and meet data requirements.
• Assist in finance and accounting-related projects to support organizational goals.

Key Responsibilities & Duties

• Develop and test revenue calculation logic using SQL within Databricks.
• Integrate data from billing systems and ensure seamless data flow.
• Implement validation and reconciliation checks to maintain data accuracy.
• Document processes to support audit and compliance requirements.
• Participate in team code reviews and contribute to knowledge sharing.
• Collaborate with finance, accounting, and compliance teams on data-related projects.
• Ensure adherence to data governance and metadata management standards.
• Lead analytics projects from inception to completion with minimal supervision.

Job Requirements

• Bachelor’s degree in Computer Science, Finance, or a related field.
• 2-4 years of experience in data engineering or financial systems development.
• Proficiency in SQL and cloud data platforms, preferably Databricks.
• Experience with billing, revenue, and financial data processing.
• Familiarity with version control systems, CI/CD pipelines, and workflow tools.
• Knowledge of ERP systems like Workday Financials, Oracle, or SAP.
• Strong analytical, problem-solving, and critical thinking abilities.
• Excellent communication and documentation skills.