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Healthcare Financial Data Analyst Jobs (NOW HIRING)

Financial Data Analyst

Woburn, MA · On-site

$90K - $104K/yr

New England Life Care currently has an opening for a Financial Data Analyst. This position ... in a healthcare environment * Contribute to the annual budgeting and quarterly forecasting ...

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial data across systems. This role sits at the intersection of Finance, Data, and Systems , ensuring ...

Financial Data Analyst DSI Systems Inc., an authorized AT&T Representative partner, is seeking a motivated and detail-oriented individual to join our team as a Financial Data Analyst. Are you a ...

Sr. Financial & Data Analyst

Omaha, NE · On-site

$81K - $134K/yr

The Senior Financial and Data Analyst provides advanced financial analysis and data insights ... Health Savings Account (HSA)/Dependent Care * Employee Banking * Growth Opportunities * Tuition ...

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Healthcare Financial Data Analyst information

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$35K

$85.5K

$142K

How much do healthcare financial data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for healthcare financial data analyst in the United States is $85,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $100,500.00 per year, depending on experience, location, and employer.

What does a healthcare financial data analyst do?

A Healthcare Financial Data Analyst is responsible for collecting, analyzing, and interpreting financial data within healthcare organizations to help inform decision-making and improve financial performance. They work with large datasets related to costs, billing, revenue cycles, and budgeting. Their analyses help hospitals and clinics identify trends, reduce expenses, and optimize resource allocation while maintaining quality patient care. They often use specialized software to generate reports and support executives in strategic planning.

What are the key skills and qualifications needed to thrive as a healthcare financial data analyst?

To thrive as a Healthcare Financial Data Analyst, you need a solid background in finance, accounting, and data analysis, often supported by a degree in finance, accounting, health administration, or a related field. Proficiency in data analytics tools such as Excel, SQL, and business intelligence platforms like Tableau or Power BI, as well as familiarity with healthcare billing systems and possibly certifications like HFMA’s Certified Healthcare Financial Professional, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present insights to both financial and clinical stakeholders. These skills are crucial for driving informed decision-making, ensuring regulatory compliance, and optimizing financial performance within healthcare organizations.

What are some common challenges healthcare financial data analysts face when working with large healthcare datasets?

Healthcare Financial Data Analysts often encounter challenges such as ensuring data accuracy across multiple sources, dealing with incomplete or inconsistent data, and maintaining compliance with strict privacy regulations like HIPAA. Additionally, integrating financial data with clinical information can be complex due to differing data formats and systems. Analysts must also stay updated on industry changes to provide relevant insights that support organizational decision-making.

What is the difference between Healthcare Financial Data Analyst vs Healthcare Data Analyst?

AspectHealthcare Financial Data AnalystHealthcare Data Analyst
Required CredentialsBachelor's in Finance, Accounting, or Healthcare Administration; certifications like CFA or CPA beneficialBachelor's in Data Science, Statistics, or Healthcare Informatics; certifications like CAP or Certified Health Data Analyst
Work EnvironmentHospitals, healthcare systems, insurance companies focusing on financial performanceHospitals, clinics, healthcare IT firms analyzing clinical and operational data
Employer & Industry UsageFinance departments within healthcare organizations, insurance providersHealthcare providers, research institutions, health tech companies

The Healthcare Financial Data Analyst primarily focuses on financial data, budgeting, and revenue cycle management within healthcare settings. In contrast, the Healthcare Data Analyst handles broader clinical and operational data to improve patient care and efficiency. Both roles require strong analytical skills but differ in their core focus and certifications.

Are healthcare financial data analysts in demand?

Healthcare financial data analysts are in high demand due to the increasing need for financial management and data analysis in healthcare organizations. The role requires skills in data tools like Excel, SQL, and healthcare-specific software, and employment prospects are strong across various healthcare settings.

What cities are hiring for Healthcare Financial Data Analyst jobs?

Cities with the most Healthcare Financial Data Analyst job openings:

What states have the most Healthcare Financial Data Analyst jobs?

States with the most job openings for Healthcare Financial Data Analyst jobs include:

What are popular job titles related to Healthcare Financial Data Analyst jobs?

For Healthcare Financial Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Financial Data Analyst job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 23% Full Time, 37% Part Time, and 37% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.

Financial Data Analyst

Scarborough, ME • On-site

New England Life Care
Health Care and Social Assistance • 201 - 500 employees

$90K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Collect, clean, and analyze financial and operational data from multiple internal systems using AI-assisted tools.

  • Develop and maintain financial and operational models and create visualizations using Power BI and automate data transformation with Power Query.

  • Build and maintain Power Automate workflows to automate reporting processes and improve operational efficiency.


New England Life Care rating

6.3

Company rating: 6.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

NELC is one of the fastest growing home infusion therapy services companies in New England and is the region’s only non-profit home infusion provider. NELC is a hospital collaborative serving more than 70 hospital systems in Maine, New Hampshire, and Massachusetts. NELC was created by local hospitals to ensure their patients have access to a provider that reflects their commitment to excellence in patient care, quality, and service. Like our owner hospitals, NELC provides patient focused care.

New England Life Care has and continues to build a diverse, inclusive, and authentic workplace, so if you’re energized by this opportunity, we encourage you to apply! 

New England Life Care currently has an opening for a Financial Data Analyst. This position typically works Monday through Friday from 8:00am until 5:00pm. Although classified as a remote position, occasional travel is required to a branch location. The ideal candidate for this role will have working knowledge of AI analytics and BI dashboard; audit AI-driven systems and ensure regulatory compliance; and be able to speak to how they have used AI to strengthen forecasts, variance analysis, and reporting in previous roles. 


**Although this is a remote position, we are only hiring in the following states: Massachusetts, New Hampshire, and Maine.**



Summary: 

Financial and Data Analysts at New England Life Care transform complex financial and operational data into actionable insights that support strategic decision-making while ensuring the accuracy and integrity of all reporting. Candidates in this role are expected to be active practitioners and champions of AI-assisted analytics — leveraging tools such as Claude, Microsoft Power Query, and Power Automate to drive automation, efficiency, and data quality. Beyond their own work, they play a key role in advancing NELC’s broader AI adoption and participate directly in the organization’s AI governance framework. They collaborate with stakeholders across the organization to understand business needs, design analytical solutions, and lead efforts in data collection, reporting, and visualization.

Benefits: 

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Generous employer-matched 403b savings program
  • Company paid: Life insurance, Short- and long-term disability insurance
  • Paid time off
  • And much more!


Primary Responsibilities:

  • Collect, clean, and analyze financial and operational data from multiple internal systems; use AI-assisted tools (including Claude) to accelerate data validation, anomaly detection, and cross-source reconciliation
  • Develop and maintain advanced financial and operational models in Excel — as a designer, not just a user — and leverage Power BI for visualization and Power Query for automated data transformation
  • Build and maintain Power Automate workflows to reduce manual reporting steps, automate data refreshes, and improve operational efficiency across finance functions
  • Actively use Claude and other AI tools to generate analytical narratives, draft variance explanations, and identify trends that inform strategic recommendations
  • Champion AI adoption within the organization by training colleagues, sharing practical use cases, and developing repeatable AI-assisted workflows that teams can adopt
  • Serve as an active participant in NELC’s AI governance framework — contributing to the development of responsible use standards, data policies, and compliance guidelines for AI tools in a healthcare environment
  • Contribute to the annual budgeting and quarterly forecasting processes, ensuring alignment with organizational goals and leveraging AI tools to improve accuracy and speed
  • Analyze

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