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Data Analyst Financial Analyst Jobs (NOW HIRING)

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 ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in building and implementing a robust financial analytics function within Finance. This role will leverage ...

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 ...

Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or a related field * 2+ years of experience in a data analyst, financial analyst, or similar role * Demonstrated experience ...

Partnering closely with executive leadership, you'll transform complex data into actionable ... Analyst, Real Estate Finance, Corporate Finance Analyst, Senior Financial Analyst, Financial ...

Senior Financial Analyst

Elmhurst, IL · Hybrid

$85K - $106K/yr

Senior Financial Analyst (FP&A) Why Work Here? Rapidly growing manufacturing and logistics company Chicago is seeking a sharp, charismatic, Senior Financial Analyst for their Financial Planning ...

Ideal for early-career professionals in financial analytics. Key Responsibilities * Analyze banking and transaction data * Create dashboards using Tableau or Power BI * Write SQL queries for data ...

Financial Data Analyst

Canton, MA · On-site

$90K - $104K/yr

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 ...

The Financial Analyst will pull and analyze data from our data warehouse and other internal sources to produce reports for the Chief Financial Officer, partnering closely with our data team and our ...

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Data Analyst Financial Analyst information

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$35K

$85.5K

$142K

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

As of Jul 8, 2026, the average yearly pay for data analyst financial 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.

Can a data analyst work as a financial analyst?

A data analyst can transition to a financial analyst role since both positions require strong analytical skills, proficiency in data tools like Excel and SQL, and an understanding of financial concepts. However, financial analysts often need knowledge of accounting, finance, and sometimes certifications like CFA, which may require additional training or experience. The skills overlap can facilitate a career shift, but specific financial knowledge is typically necessary for success in a financial analyst role.

Is AI replacing financial analysts?

AI is automating certain tasks performed by financial analysts, such as data analysis and reporting, but it is not replacing the role entirely. Financial analysts still rely on critical thinking, interpretation, and strategic decision-making that AI tools currently cannot fully replicate. Professionals in this field need to develop skills in data analysis, programming, and financial modeling to stay competitive as AI integration increases.

Is a financial analyst the same as a data analyst?

A financial analyst and a data analyst are different roles; a financial analyst focuses on analyzing financial data to guide investment and business decisions, often using tools like Excel and financial modeling, while a data analyst works with broader data sets across various domains, utilizing tools like SQL and data visualization software. Both roles require strong analytical skills but have different industry focuses and skill sets.

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

AspectData AnalystData Scientist
Required CredentialsBachelor's in Statistics, Data Analysis, or related field; often certifications like Microsoft Excel or TableauBachelor's or Master's in Computer Science, Statistics, or related; certifications like Python, R, or machine learning courses
Work EnvironmentBusiness settings, focusing on reporting and data visualizationTech and research environments, focusing on predictive modeling and advanced analytics
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, research institutions, finance, healthcare

Data Analysts primarily focus on interpreting existing data to generate reports and insights, while Data Scientists develop complex models and algorithms to predict future trends. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and work on more complex projects.

Which pays more, a data analyst or a financial analyst?

Financial analysts generally tend to earn higher salaries than data analysts due to the specialized financial knowledge required and the nature of their work. However, salaries can vary based on experience, industry, location, and certifications like CFA or CPA. Both roles often require proficiency in tools like Excel, SQL, and data visualization software.
More about Data Analyst Financial Analyst jobs
What cities are hiring for Data Analyst Financial Analyst jobs? Cities with the most Data Analyst Financial Analyst job openings:
What states have the most Data Analyst Financial Analyst jobs? States with the most job openings for Data Analyst Financial Analyst jobs include:
Infographic showing various Data Analyst Financial 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 $85,459 per year, or $41.1 per hour.

Full-time

Re-posted 11 days ago


Job description

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 / Data Analyst to turn complex data into clear, actionable insights that drive business decisions.
This role sits at the intersection of finance, data, and strategy - you'll build models, analyze performance, and create dashboards that leadership relies on daily.
If you're someone who can connect numbers to real business impact, this is where you thrive.
What You'll Own
Financial Modeling & Analysis
  • Build and maintain 3-statement financial models (P&L, Balance Sheet, Cash Flow)
  • Perform scenario analysis, sensitivity modeling, and forecasting
  • Analyze ROI, IRR, break-even points, and investment performance
  • Support strategic decision-making with data-backed financial insights

Data Analysis & Insights
  • Query and analyze datasets using SQL
  • Clean, structure, and transform data using Python, R, or Excel
  • Perform variance analysis (actual vs. forecast vs. budget)
  • Identify trends, risks, and opportunities across datasets

Reporting & Dashboards
  • Build dashboards using:
    • Tableau
    • Power BI
    • Looker
  • Prepare monthly reports, executive summaries, and board decks
  • Ensure reporting is consistent, accurate, and easy to interpret

Forecasting & Budgeting
  • Support FP&A processes and rolling forecasts
  • Integrate real-time performance into financial projections
  • Help improve forecasting accuracy and business planning

Data Quality & Governance
  • Validate data sources and ensure consistency
  • Document models, assumptions, and methodologies
  • Maintain clean, reliable datasets for decision-making

Cross-Functional Collaboration
  • Partner with finance, operations, sales, and leadership
  • Translate data into clear, actionable business insights
  • Support key decisions with structured analysis

What Success Looks Like
  • Leadership trusts your numbers and insights
  • Forecasts are accurate and actionable
  • Dashboards are clear, reliable, and used daily
  • Business decisions are driven by your analysis
  • Data quality and reporting consistency improve over time

What Makes You a Strong Fit
  • Analytical thinker who simplifies complex data
  • Detail-oriented with high accuracy standards
  • Strong communicator (not just numbers - insights)
  • Comfortable working with large datasets and ambiguity
  • Proactive in identifying trends and opportunities

Requirements (Must-Have)
Experience
  • 2+ years in:
    • Financial Analysis
    • FP&A
    • Data Analytics

Core Skills
  • Advanced Excel / Google Sheets:
    • Pivot Tables
    • INDEX/MATCH
    • Data modeling
  • Strong SQL skills (queries, joins, data extraction)
  • Experience with financial reporting and variance analysis

Technical Stack
  • BI Tools:
    • Tableau
    • Power BI
    • Looker
  • Data tools:
    • SQL
    • Excel / Google Sheets

Nice to Have
  • Python or R for data analysis
  • Experience with ERP systems:
    • NetSuite
    • SAP
    • Oracle
  • Industry experience:
    • SaaS
    • Finance
    • Healthcare
  • Experience building executive dashboards

What a Typical Day Looks Like
  • Pull and clean data from SQL or ERP systems
  • Update financial models with new data
  • Run scenario and variance analysis
  • Build or refine dashboards for leadership
  • Present insights and recommendations to stakeholders

In short:
You turn raw data into clear insights that drive business decisions.
Key Metrics (KPIs)
  • Forecast accuracy (±5-10%)
  • Timely reporting delivery
  • Dashboard reliability and usability
  • Data accuracy and consistency
  • Leadership satisfaction with insights

Interview Process
  • Initial Phone Screen
  • Video Interview with Recruiter
  • Practical Task (model or dashboard)
  • Client Interview
  • Offer & Background Verification

Apply Now
If you're someone who enjoys working with data, building models, and influencing decisions through insights, this role gives you direct impact on business strategy.
Apply now and become the bridge between data and decision-making.