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Data Analyst Finance Jobs (NOW HIRING)

Financial Data Analyst

Woburn, MA · On-site

$90K - $104K/yr

Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, or a related field; Master's degree a plus * 2-4 years of experience in financial analysis, data analytics, or ...

Financial Data Analyst

Canton, MA · On-site

$90K - $104K/yr

Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, or a related field; Master's degree a plus * 2-4 years of experience in financial analysis, data analytics, or ...

Financial Data Analyst

Concord, NH · On-site

$90K - $104K/yr

Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, or a related field; Master's degree a plus * 2-4 years of experience in financial analysis, data analytics, or ...

Data Analyst

Waco, TX · Hybrid

$70K/yr

Analyze trends, variances, KPIs, inventory data, financial data, operational data, purchasing data, sales data, and other business metrics. * Partner with accounting, operations, purchasing ...

Analyst Finance

Carlisle, PA · On-site

$63K - $95K/yr

Excel skills including pivot tables, lookups, data analysis, and financial modeling * Strong analytical and problem-solving skills * Basic understanding of accounting principles * Articulate and ...

Support productivity, pricing, and sales channel analysis by gathering data, preparing summaries, maintaining templates, and helping connect financial impacts to planning cycles such as AOP and ...

Support productivity, pricing, and sales channel analysis by gathering data, preparing summaries, maintaining templates, and helping connect financial impacts to planning cycles such as AOP and ...

Support productivity, pricing, and sales channel analysis by gathering data, preparing summaries, maintaining templates, and helping connect financial impacts to planning cycles such as AOP and ...

... analyst, financial modeler, statistician Good understanding of data management practices Demonstrated knowledge of Financial Services (Banking, Wealth Management, and Capital Markets) business ...

Build robust data models in Power BI to analyze financial datasets, including budgeting ... forecasting, pricing and profitability analysis. * Use advanced DAX formulas and Power Query to ...

This role focuses on improving financial systems, data, reporting, and analytics to support accurate, scalable, and timely financial insight in a high-volume IT reseller environment. The Business ...

This role focuses on improving financial systems, data, reporting, and analytics to support accurate, scalable, and timely financial insight in a high-volume IT reseller environment. The Business ...

... analyst, financial modeler, statistician • Good understanding of data management practices • Demonstrated knowledge of Financial Services (Banking, Wealth Management, and Capital Markets ...

The Financial Data Analyst is responsible for providing financial planning, analysis, and decision ... Bachelor's degree in Finance, Accounting, Business, or a related field, or equivalent experience ...

This role will partner closely with Accounting, Finance, and operational teams to analyze financial data, create reporting solutions, improve processes, and identify trends that drive business ...

Showing results 21-40

Data Analyst Finance information

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$35K

$85.5K

$142K

How much do data analyst finance jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analyst finance 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.

Can I get a data analyst job with a finance degree?

A finance degree can qualify you for a data analyst position in finance or related fields, especially if you develop skills in data analysis tools like Excel, SQL, or Python. Employers often value relevant coursework, internships, and certifications such as CFA or data analysis certifications alongside your degree.

What are the key skills and qualifications needed to thrive as a data analyst in finance?

To thrive as a Data Analyst in Finance, you need strong analytical skills, a solid understanding of financial concepts, and proficiency in data interpretation, typically supported by a degree in finance, statistics, or a related field. Familiarity with tools such as Excel, SQL, and data visualization software like Tableau or Power BI, as well as knowledge of financial modeling and relevant certifications (e.g., CFA, FRM), is highly valuable. Attention to detail, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights for stakeholders. These abilities ensure accurate financial analysis, support strategic decision-making, and enhance organizational performance in a data-driven financial environment.

Can a data analyst work in finance?

Yes, a data analyst can work in finance by analyzing financial data, creating reports, and supporting decision-making processes. Skills in Excel, SQL, and data visualization tools are commonly used in finance roles for data analysis tasks.

How does a data analyst in finance typically collaborate with other departments within an organization?

A Data Analyst in Finance often works closely with teams such as accounting, operations, and business strategy to gather relevant data and provide insights that influence key financial decisions. Collaboration may include participating in cross-functional meetings to understand data needs, sharing financial reports with stakeholders, and supporting budgeting or forecasting processes. Effective communication is essential, as data analysts must translate complex data findings into actionable recommendations for both technical and non-technical colleagues. This collaborative environment helps ensure that financial strategies are data-driven and aligned with organizational goals.

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

AspectData Analyst FinanceFinancial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, data visualization toolsBachelor's in Finance, Economics, or related; often CFA or CPA certifications
Work EnvironmentFinancial institutions, corporate finance departments, investment firmsBanking, investment firms, corporate finance, consulting
Primary FocusAnalyzing financial data, creating reports, supporting decision-makingForecasting, valuation, investment analysis, financial planning

While both roles analyze financial data, Data Analyst Finance primarily focuses on data collection, visualization, and supporting operational decisions. Financial Analysts often engage in forecasting, valuation, and investment strategies. The roles overlap in skills and industry settings but differ in scope and specific responsibilities.

What does a data analyst in finance do?

A Data Analyst in Finance collects, processes, and analyzes financial data to help organizations make informed business decisions. They work with large datasets to identify trends, forecast financial outcomes, and create reports or dashboards for stakeholders. Their responsibilities often include cleaning data, performing statistical analysis, and visualizing results to support budgeting, investment strategies, and risk management. They play a key role in ensuring financial data accuracy and providing actionable insights that drive company performance.
More about Data Analyst Finance jobs
What cities are hiring for Data Analyst Finance jobs? Cities with the most Data Analyst Finance job openings:
What states have the most Data Analyst Finance jobs? States with the most job openings for Data Analyst Finance jobs include:
Infographic showing various Data Analyst Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.

Financial Data Analyst

New England Life Care

Woburn, MA • On-site

$90K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


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 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:

  • Bachelor’s degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, or a related field; Master’s degree a plus
  • 2–4 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 — not a passive observer — to NELC’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 AI’s potential and a clear-eyed understanding of its limitations.



EOE


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