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Senior Financial Data Analyst Jobs (NOW HIRING)

Financial Data Analyst

Canton, MA ยท On-site

$90K - $104K/yr

Summary: Financial and Data Analysts at New England Life Care transform complex financial and ... to senior management * Identify trends, variances, and anomalies and communicate findings ...

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 ...

Role Summary As IDOC's Financial Data Analyst, you love to create and improve processes ... You will report to the Senior Data Analyst. Your ability to form and strengthen relationships both ...

Financial Data Analyst

Concord, NH ยท On-site

$90K - $104K/yr

Summary: Financial and Data Analysts at New England Life Care transform complex financial and ... to senior management * Identify trends, variances, and anomalies and communicate findings ...

We're hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO , and we're looking for someone who's ready to grow with us, bring energy and drive to their work, and help us ...

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

Trenton, NJ ยท Remote

$18 - $18.50/hr

We are looking for a detail-oriented Financial Data Analyst to join a financial services team in New Jersey. This Long-term Contract opportunity is well suited for an early-career candidate or ...

Financial Data Analyst

Lititz, PA ยท On-site +1

$65K - $75K/yr

Job Summary Clark Associates is seeking a driven and detail-oriented Financial Data Analyst to join the Financial Systems & Data team. In this role, you will work directly with The Restaurant Store ...

... Analyst who can work independently on complex processes. The ideal candidate will have knowledge of financial products and valuation coupled with a strong background in data management, including ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours About the Role We're hiring a Financial Analyst ...

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Senior Financial Data Analyst information

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$55K

$96.4K

$121K

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

As of Jul 13, 2026, the average yearly pay for senior financial data analyst in the United States is $96,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Financial Data Analyst, and why are they important?

To thrive as a Senior Financial Data Analyst, you need advanced proficiency in financial modeling, data analysis, and a strong understanding of accounting principles, often supported by a degree in finance, accounting, or a related field. Expertise in tools like Microsoft Excel, SQL, Power BI, and familiarity with ERP systems or data visualization platforms is typically required, and certifications such as CFA or CPA can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving informed business decisions, ensuring data accuracy, and supporting strategic financial planning.

How stressful is a FP&A job?

A Senior Financial Data Analyst role in FP&A can be stressful due to tight deadlines, high accuracy requirements, and the need for detailed financial analysis. The job often involves long hours during reporting periods and requires strong analytical skills and proficiency with tools like Excel and financial modeling. However, workload and stress levels vary depending on company size, industry, and individual workload management.

How much does a senior data analyst earn?

A senior financial data analyst typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. They often use tools like Excel, SQL, and data visualization software, and may hold certifications such as CFA or CPA to enhance their earning potential.

Is AI replacing financial analysts?

AI is transforming the role of senior financial data analysts by automating data processing, forecasting, and reporting tasks, allowing analysts to focus on strategic analysis and decision-making. While AI tools enhance efficiency and accuracy, they complement rather than fully replace the expertise and judgment of experienced analysts in interpreting complex financial data.

What is the average salary for a senior financial analyst?

The average salary for a senior financial analyst in the US is approximately $85,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in financial modeling, data analysis, and tools like Excel or SQL may earn higher compensation.

How does a Senior Financial Data Analyst typically collaborate with other departments within a company?

Senior Financial Data Analysts frequently work closely with teams such as accounting, operations, and business strategy to ensure accurate financial reporting and to provide actionable insights for decision-making. They often participate in cross-functional meetings, translating complex financial data into clear recommendations for non-financial stakeholders. Effective collaboration is vital, as analysts are relied upon to bridge the gap between raw data and strategic business objectives, ensuring all departments are aligned on financial goals and performance metrics.

What does a Senior Financial Data Analyst do?

A Senior Financial Data Analyst is responsible for collecting, analyzing, and interpreting complex financial data to support strategic decision-making within an organization. They use advanced analytical tools and statistical techniques to identify trends, forecast financial outcomes, and provide actionable insights to management. Additionally, they often lead projects, mentor junior analysts, and help improve data processes to enhance efficiency and accuracy in financial reporting.
What cities are hiring for Senior Financial Data Analyst jobs? Cities with the most Senior Financial Data Analyst job openings:
What are the most commonly searched types of Financial Data Analyst jobs? The most popular types of Financial Data Analyst jobs are:
What states have the most Senior Financial Data Analyst jobs? States with the most job openings for Senior Financial Data Analyst jobs include:
Infographic showing various Senior Financial Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $96,423 per year, or $46.4 per hour.
Financial Data Analyst

Financial Data Analyst

New England Life Care

Scarborough, ME โ€ข On-site

$90K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

NELC is one of the fastest growing home infusion therapy services companies in New England and is the regionโ€™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 youโ€™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 โ€” 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 NELCโ€™s broader AI adoption and participate directly in the organizationโ€™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 โ€” as a designer, not just a user โ€” 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 NELCโ€™s AI governance framework โ€” 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 monthly financial results and trends to deliver actionable insights and strategic recommendations to senior management
  • Identify trends, variances, and anomalies and communicate findings proactively to stakeholders, using AI-generated summaries and dashboards where applicable
  • Structure and analyze large, complex data sets to uncover patterns, trends, and business opportunities
  • Perform routine data quality checks and reconciliations to ensure consistency across data, reporting, and outcomes
  • Collaborate with internal and external stakeholders to gather requirements, validate data, and ensure accuracy in reporting
  • Create clear and compelling presentations and reports based on analytical findings and recommendations
  • Design, maintain, and enhance dashboards and visualizations that communicate key metrics across the organization
  • Maintain knowledge of applicable regulations and policies, including healthcare finance, reimbursement models, and HIPAA requirements as they relate to data and AI use

Educational and Professional Requirements:

  • Bachelorโ€™s degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, or a related field; Masterโ€™s degree a plus
  • 2โ€“4 years of experience in financial analysis, data analytics, or a similar role; healthcare industry experience preferred
  • Demonstrated experience using AI tools (e.g., Claude, Microsoft Copilot, or equivalent) in a professional analytics or finance context
  • Proficiency with Microsoft Power Query and Power Automate for data pipeline and workflow automation
  • Familiarity with healthcare finance, reimbursement models, or regulatory compliance is a plus


Preferred Skills:

  • High level of mathematical and analytic ability
  • High-level problem-solving skills
  • A methodical and logical approach to data and process challenges
  • Advanced proficiency in Microsoft Excel (design and modeling, not just data entry)
  • Proficient with Microsoft Office suite and Power Platform tools (Power BI, Power Query, Power Automate)
  • Practical experience with AI-assisted analytics tools and the ability to prompt, evaluate, and integrate AI outputs responsibly
  • Excellent interpersonal, written, and verbal communication skills


''It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.''


Note on AI Governance Participation

New England Life Care is committed to the responsible adoption of AI across its operations. This role is expected to be an active contributor โ€” not a passive observer โ€” to NELCโ€™s AI governance process. That includes helping to define acceptable use guidelines, evaluating tools for HIPAA compliance, flagging potential data risks, and serving as a trusted resource for colleagues adopting AI in their own workflows. Candidates should bring both enthusiasm for AIโ€™s potential and a clear-eyed understanding of its limitations.



EOE