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Data Analytics Finance Jobs (NOW HIRING)

Procure Analytics

Financial Data Analyst

Atlanta, GA · On-site

... Finance, Accounting, Economics, Business Analytics, Data Analytics, Supply Chain, Industrial Engineering, or a related field * -0-2 years of experience in financial analysis, FP&A, data analytics ...

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment. * SQL Mastery: Advanced SQL skills are non-negotiable.

CFGI

Data & Analytics - Consultant

Charleston, WV · On-site

We help clients tackle complex challenges across accounting, financial reporting, transactions, regulatory compliance, digital transformation, and data analytics. We blend deep technical expertise ...

The LaSalle Group

Sr Manager, Data & Analytics

Chicago, IL · On-site

$160K - $180K/yr

Senior Finance Manager, Data & Analytics Location: Flexible / Hybrid Compensation: $130,000-$180,000 base salary, eligibility to earn discretionary bonus About the Role We are seeking a strategic and ...

Consensus Cloud Solutions

Sr. Data Analyst - Finance

$88K - $111K/yr

Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment. * SQL Mastery: Advanced SQL skills are non-negotiable.

Lincoln Financial

Specialist, Data Analytics

Radnor, PA · Hybrid

$55/hr

In the Specialist, Data Analytics role you will be a member of an experienced team providing ... Analyzes datasets, variances, and trends in financial and business operations and helps formulate ...

Lincoln Financial

Specialist, Data Analytics

Radnor, PA · Hybrid

$55/hr

In the Specialist, Data Analytics role you will be a member of an experienced team providing ... Analyzes datasets, variances, and trends in financial and business operations and helps formulate ...

New

BMO Financial

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Work closely with product, finance, and strategy teams to align analytics with business priorities. * Serve as a thought partner to stakeholders, helping them interpret data and make informed ...

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Data Analytics Finance information

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How much do data analytics finance jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analytics 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 are some typical challenges faced by professionals in data analytics finance, and how can they be addressed?

Professionals in Data Analytics Finance often encounter challenges such as integrating data from multiple financial systems, ensuring data accuracy, and communicating insights to non-technical stakeholders. Addressing these challenges involves staying adept with data cleaning methods, collaborating closely with IT and business teams, and developing strong data visualization and storytelling skills. Regular training on emerging analytics tools and fostering open communication within cross-functional teams can also significantly enhance efficiency and impact.

What is data analytics in finance?

Data analytics in finance refers to the process of collecting, processing, and analyzing financial data to make informed business decisions. It involves using statistical tools and software to uncover trends, predict future outcomes, and identify risks or opportunities in financial operations. Professionals in this field help organizations optimize their financial strategies, improve performance, and ensure compliance. Data analytics is increasingly important in finance as it allows companies to gain deeper insights from large volumes of financial data.

Can a data analytics finance work in finance?

A data analytics finance professional can work in finance by applying data analysis skills to financial data, supporting decision-making, risk assessment, and forecasting. Knowledge of financial concepts, tools like Excel or SQL, and certifications such as CFA or CPA can enhance their effectiveness in finance roles.

What are the key skills and qualifications needed to thrive as a data analytics finance professional?

To thrive as a Data Analytics Finance professional, you need strong quantitative analysis skills, financial acumen, and typically a degree in finance, economics, mathematics, or a related field. Proficiency with data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are highly beneficial. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills ensure accurate financial analysis, data-driven decision-making, and effective collaboration within finance teams.

Can you work in data analytics with a finance degree?

Data analytics roles often accept candidates with a finance degree, especially if they have skills in statistics, programming, and data visualization tools like Excel, SQL, or Python. A finance background provides a strong foundation in financial data analysis, which is valuable in many data analytics positions within finance and business sectors.
More about Data Analytics Finance jobs
What job categories do people searching Data Analytics Finance jobs look for? The top searched job categories for Data Analytics Finance jobs are:
Infographic showing various Data Analytics Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.

Lead Financial Data Analyst

Lutron Electronics Co., Inc

Coopersburg, PA

Full-time

Re-posted 6 days ago

Lutron Electronics rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

27th of 156 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

#LI-ET1

#LEC1 

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

#LI-ET1

#LEC1 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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