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Data Analyst Finance Jobs (NOW HIRING)

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

Our team utilizes technical data analysis skills in conjunction with deep financial and private capital markets industry knowledge to deliver the most accurate and digestible information to our ...

CompuNet, Inc.

Business Analyst - Finance

Meridian, ID · On-site

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 ...

cillium corp

data analyst

Fairfax, VA · On-site

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

PitchBook Data

Data Analyst

New York, NY · On-site

Our team utilizes technical data analysis skills in conjunction with deep financial and private capital markets industry knowledge to deliver the most accurate and digestible information to our ...

Clark Associates

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

This role requires strong collaboration across Finance and Accounting teams, with an emphasis on ... Develop and interpret SQL queries and DAX measures to support analysis * Validate data accuracy ...

Sterling Engineering Inc.

Data Analyst

Atlanta, GA

$45 - $60/hr

This role is responsible for budgeting, forecasting, financial modeling, reporting, and performance analysis while partnering with cross-functional teams to improve decision-making through data ...

United Dairy Farmers

Financial Data Analyst

Norwood, OH · On-site

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 ...

University of Colorado

Data Analyst

Aurora, CO

Analyze financial and operational data related to biomedical research, service center, and center/institute activities. * Develop dashboards and reports to support leadership decision-making.

NC SECU

Financial Data Analyst II

Raleigh, NC

Bachelor's in Information Technology, Data Analytics, Accounting, Business, Finance or related Field Desired Education : Master's in in Information Technology, Data Analytics, Accounting, Business ...

New

University of Colorado

Data Analyst

Aurora, CO · On-site

Analyze financial and operational data related to biomedical research, service center, and center/institute activities. * Develop dashboards and reports to support leadership decision-making.

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... and delivery of financial data to clients. Responsibilities : • Support the build-out and ...

Warner Music Group

Analyst, Finance

Handling large volumes of financial data is your jam, you take pride producing accurate, quality ... Prepare, analyze, and distribute participation profit share and distribution statements according ...

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Data Analyst Finance information

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$35K

$85.5K

$142K

How much do data analyst finance jobs pay per year?

As of Jul 23, 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.

What is the salary of data analyst in JP Morgan?

The average salary for a Data Analyst at JP Morgan typically ranges from $60,000 to $85,000 annually, depending on experience, location, and specific role. Entry-level positions may start lower, while experienced analysts or those with specialized skills can earn higher salaries, often supplemented with bonuses and benefits.

Will AI replace a data analyst?

AI is unlikely to fully replace data analysts, as their role involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Instead, AI tools can augment their work by automating routine tasks and enhancing data processing, allowing analysts to focus on higher-level analysis and problem-solving. Skills in data visualization, statistical analysis, and familiarity with AI and machine learning tools remain valuable for data analysts in this evolving environment.

What does a financial data analyst do?

A financial data analyst collects, analyzes, and interprets financial data to help organizations make informed business decisions. They use tools like Excel, SQL, and data visualization software to identify trends, prepare reports, and support financial planning and forecasting. Strong analytical skills and understanding of finance principles are essential for this role.

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

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?

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 often required, along with understanding financial concepts and regulations.

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:
What job categories do people searching Data Analyst Finance jobs look for? The top searched job categories for Data Analyst Finance jobs are:
Data Analyst Finance jobs near you
Infographic showing various Data Analyst Finance job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.
Lead Financial Data Analyst

Lead Financial Data Analyst

Lutron Electronics Co., Inc

Coopersburg, PA • On-site

Full-time

Posted 22 days ago

Lutron Electronics rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

28th of 144 rated electronics manufacturers

Job description

Overview
We are seeking a Lead Financial Data Analyst to support the Financial Planning & Analysis (FP&A) organization at our Global Headquarters in Coopersburg, PA. The Lead Financial Data Analyst will be responsible for driving enterprise analytics, reporting strategy, and data-driven decision making across the organization and beyond.
This role will lead the development of scalable reporting solutions, KPI frameworks, data models, and analytical capabilities that enable business leaders to understand performance drivers, identify opportunities, and make informed strategic decisions. The Lead Financial Data Analyst will serve as a key partner to Finance, Sales, Operations, Accounting, IT, and Data teams to improve data accessibility, governance, and analytical maturity across the organization.
Responsibilities
  • Design, develop, and maintain executive-level FP&A reports, dashboards, and KPI scorecards using Power BI, Excel, and ERP systems.
  • Lead the collection, analysis, and interpretation of financial and operational data to identify trends, risks, opportunities, and performance drivers.
  • Partner with Finance, Sales, Accounting, Operations, IT, and internal data teams to establish data governance standards, business definitions, and reporting consistency across enterprise metrics.
  • Lead the development and automation of data models, reporting processes, and business intelligence tools to improve efficiency and accuracy.
  • Collaborate with technical teams to improve data integration, reporting architecture, and data structures that support enterprise reporting and analytics initiatives.
  • Ensure the accuracy, consistency, and reliability of reporting outputs by identifying data quality issues and implementing process improvements.
  • Identify opportunities to streamline reporting processes, enhance data accessibility, and improve the overall effectiveness of business intelligence and analytics capabilities.

Qualifications
  • Bachelor's degree in Data Analytics, Business Analytics, Finance, Information Systems, Computer Science, Statistics, Economics, or a related field required
  • Minimum cumulative 3.00 GPA required
  • Minimum 4 years of work experience in data analytics, business intelligence, FP&A reporting, financial analytics, or a related analytical role required
  • Proficiency in Power BI and Microsoft Excel, including dashboard development, data modeling, and visualization platforms required
  • Working knowledge of ERP systems such as SAP, Oracle, JD Edwards, or similar enterprise applications required
  • Experience designing and maintaining dimensional data models, semantic layers, or enterprise reporting datasets required
  • Proficiency in SQL for data extraction, transformation, and analysis required
  • You are authorized to work in the U.S. and will not require Lutron to sponsor you for any work visa, such as an H-1B, either immediately or at any time in the future. Lutron does not offer work visa sponsorship for this position.

Preferred Qualifications:
  • Experience supporting Finance, FP&A, Sales, Operations, or Accounting organizations
  • Experience supporting executive-level reporting and decision-making processes
  • Knowledge of enterprise data platforms and cloud-based analytics environments, including Denodo, AWS, Microsoft Fabric, or similar technologies
  • Proficiency with Python, R or other analytical automation tools preferred
  • Knowledge of data warehousing, ETL processes, and data governance frameworks
  • Experience implementing reporting automation and self-service business intelligence solutions

Lutron Electronics' position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.
Lutron Electronics is an Equal Opportunity - Affirmative Action - Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics
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