Financial Data Analyst

Overview

A healthcare organization is seeking a Financial Data Analyst to support strategic and operational decision-making by transforming raw data into actionable insights. This role involves working closely with Finance, Revenue Cycle, Operations, and Clinical leadership to design dashboards, improve data processes, and support key business initiatives aimed at enhancing financial performance, operational efficiency, and patient service outcomes.

Responsibilities

• Develop, maintain, and optimize SQL-based data pipelines, queries, and reports for financial and operational analytics.
• Prepare and analyze financial, operational, and clinical datasets to support budgeting, forecasting, variance analysis, and strategic planning.
• Build dashboards and data visualizations using tools such as Power BI, Tableau, or Excel to help leaders interpret trends and key performance indicators.
• Collaborate with Finance to improve data quality, automate reporting processes, and enhance analytical capabilities.
• Perform ad-hoc analyses to support strategic initiatives, cost optimization, and performance improvement projects.
• Translate complex data findings into clear, actionable recommendations for financial and operational stakeholders.
• Ensure data governance, integrity, and security standards are maintained across reporting processes.
• Work cross-functionally with IT, Revenue Cycle, and Operations teams to align on data definitions and reporting requirements.

Requirements

• Bachelor’s degree in Finance, Data Analytics, Information Systems, Healthcare Management, or a related field.
• 2–5 years of hands-on SQL experience, including writing complex queries, joins, common table expressions (CTEs), and stored procedures, or an equivalent combination of education and experience.

Preferred Qualifications

• Strong experience with relational databases such as SQL Server, Snowflake, Redshift, or MySQL.
• Proficiency in data visualization tools, preferably Power BI; Tableau or Qlik also acceptable.
• Advanced Excel skills, including pivot tables, Power Query, and data modeling.
• Experience working with large datasets and building automated reporting workflows.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to communicate insights effectively to both technical and non-technical audiences.
• Experience in healthcare services, managed care, population health, or revenue cycle analytics.
• Familiarity with financial reporting, budgeting, or financial planning and analysis (FP&A) processes.
• Exposure to Python or R for data transformation or statistical analysis.
• Understanding of HIPAA, protected health information (PHI) handling, and healthcare data compliance requirements.
• Detail-oriented with strong organizational skills.
• Ability to work effectively in a fast-paced, evolving environment.
• Collaborative team player who can also independently manage priorities.
• Proactive and curious with a desire to improve processes and outcomes.

Compensation & Benefits

• Salary range: $70,000 - $95,000 per year.
• Actual offer may vary based on geographic location, years of experience, and skill level.

Location

• Position details regarding location were not specified.