Finance Data Analyst

Key Responsibilities:

• Design, maintain, and optimize SQL Server databases supporting revenue analytics and reporting.
• Develop automated ETL (Extract, Transform, Load) processes to ensure data accuracy, efficiency, and timely refreshes.
• Build and manage Power BI dashboards and analytics applications for monitoring revenue performance.
• Write and optimize SQL queries and stored procedures; leverage Python or R for automation and analytics tasks.
• Support integrations between financial systems, operational platforms, and data warehouses.
• Collaborate with IT and data teams on cloud migration and analytics platform initiatives.
• Monitor data pipelines for integrity, efficiency, and opportunities to automate or enhance processes.
• Translate business requirements into scalable, technical solutions.
• Ensure compliance with data security, governance, and organizational policies.
• Continuously evaluate and implement improvements to analytics tools and processes.
  

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field required.
• Master’s degree in Data Science, IT, or a related discipline preferred.
• Minimum of 3 years’ experience in database management, analytics development, or data-focused roles.
• Proficiency with SQL Server, automation scripting, and Power BI required.
• Experience working with healthcare financial or revenue data required.
• Exposure to cloud analytics platforms (Azure, AWS, or GCP) preferred.
• Programming experience in Python, R, or similar languages preferred.
• Knowledge of data science, predictive analytics, or machine learning concepts is a plus.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Effective communication, collaboration, and the ability to translate business needs into technical solutions.