Revenue Data Analyst

Overview

• Contribute to a leading organization by analyzing and optimizing revenue data processes.
• Develop innovative solutions to ensure accurate financial data and compliance.
• Collaborate with cross-functional teams to enhance operational efficiency and data integration.
• Leverage advanced tools and platforms to drive impactful analytics projects.
• Participate in knowledge-sharing initiatives to foster team growth and innovation.
• Document processes thoroughly to support audit readiness and compliance requirements.
• Ensure data quality through automated validation and reconciliation mechanisms.
• Contribute to projects that align with organizational goals and drive success.

Key Responsibilities & Duties

• Develop and test revenue calculation logic using advanced tools and SQL.
• Integrate data from various systems to ensure seamless data flow and accuracy.
• Implement validation checks to maintain data integrity and compliance.
• Document processes to support audit readiness and regulatory compliance.
• Participate in team code reviews and contribute to knowledge-sharing initiatives.
• Collaborate with finance and accounting teams on data-driven projects.
• Ensure adherence to data governance and metadata management standards.
• Lead analytics projects from initiation to completion, ensuring timely delivery.

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 platforms, preferably Databricks.
• Experience with billing systems and financial data processing workflows.
• Familiarity with ERP systems like Workday Financials, Oracle, or SAP.
• Knowledge of version control systems and CI/CD pipelines.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and documentation abilities.