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Remote Financial Data Analyst Jobs (NOW HIRING)

Pavago

Financial & Data Analyst

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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Clark Associates

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ... Experience * 2-4 years of professional experience in data analytics, finance, or a related role

HTP Solutions

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$58K - $65K/yr

Position Overview We are seeking a Financial Data Analyst (Entry-Level) to join our audit services team. In this role, you will analyze client spend data to identify policy violations, trends ...

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

As of May 29, 2026, the average yearly pay for remote financial data 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.

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

To thrive as a Remote Financial Data Analyst, you need strong analytical abilities, proficiency in finance and statistics, and a relevant degree such as finance, economics, or mathematics. Expertise in tools like Excel, SQL, Python, and familiarity with business intelligence platforms such as Tableau or Power BI, plus relevant certifications (e.g., CFA or FMVA), are typically required. Excellent communication, self-motivation, and time management are vital soft skills for collaborating virtually and delivering insights independently. These skills ensure accurate data analysis, effective remote teamwork, and actionable financial recommendations for business success.

How does a Remote Financial Data Analyst typically collaborate with team members and stakeholders across different locations?

As a Remote Financial Data Analyst, collaboration is often facilitated through digital communication tools such as video conferencing, instant messaging, and shared dashboards. You’ll regularly participate in virtual meetings to discuss data findings with finance teams, business leaders, and other analysts. Clear documentation and frequent updates are key, as is the ability to translate complex financial data into actionable insights for non-technical stakeholders. Building strong remote relationships and proactively communicating progress help ensure projects stay aligned and deadlines are met, even when working from different time zones.

What is a Remote Financial Data Analyst?

A Remote Financial Data Analyst is a professional who works from a location outside of a traditional office, analyzing and interpreting financial data to help organizations make informed decisions. They use various tools and software to collect, process, and present data related to budgets, investments, and financial trends. Their insights support business planning, risk management, and strategic growth. Remote Financial Data Analysts often collaborate with teams through virtual meetings and digital platforms, allowing them to work flexibly from anywhere with an internet connection.

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

AspectRemote Financial Data AnalystRemote Financial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in data analysis toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentPrimarily data analysis, reporting, and modelingFinancial planning, reporting, and advising
Employer & Industry UsageFinancial services, investment firms, corporationsBanking, investment firms, corporate finance
Common Search & ComparisonFocuses on data analysis and modelingFocuses on financial advising and strategy

The main difference is that a Remote Financial Data Analyst specializes in analyzing financial data, creating models, and generating reports, while a Remote Financial Analyst focuses more on financial planning, advising, and strategy. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

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Remote Financial Data Analyst jobs near you

Financial & Data Analyst

Pavago

Remote

Full-time

Posted yesterday

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.

Apply