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Remote Sql Finance 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 ...

SHI

Database Administrator - SQL

OR · Remote

$50 - $62.50/hr

Health, wellness, and financial benefits to offer peace of mind to you and your family. * World ... This is a remote position and requires a dedicated home office, with limited travel as needed. Role ...

Chubb

Senior SQL & ETL Lead Developer

Chicago, IL · On-site +1

$122K - $178K/yr

In-Office Expectation: 4 days in office, 1 day remote The pay range for the role is $122,000 to ... The company has an A+ rating by the Better Business Bureau and an A + (Superior) financial strength ...

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Remote Sql Finance information

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$21.5K

$87.6K

$127K

How much do remote sql finance jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote sql finance in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

How does a Remote SQL Finance professional typically collaborate with cross-functional teams while working remotely?

As a Remote SQL Finance professional, collaboration with cross-functional teams—such as accounting, IT, and business operations—is often facilitated through virtual communication tools like Slack, Microsoft Teams, or Zoom. Regular meetings and shared dashboards are common, allowing you to align on data requirements, financial reporting, and project goals. You may be responsible for translating financial data needs into SQL queries and providing insights to stakeholders in real time. Effective written and verbal communication skills are essential to ensure smooth coordination and to address any data discrepancies or reporting challenges promptly.

What is a Remote SQL Finance job?

A Remote SQL Finance job involves working with financial data and systems using SQL (Structured Query Language) while performing duties remotely, often from home. Professionals in this role analyze, manage, and report on financial data by writing and optimizing SQL queries. They may support finance teams by automating data processes, building financial reports, and ensuring data integrity. This position requires a strong understanding of both finance concepts and database management, along with the ability to communicate findings to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a Remote SQL Finance professional, and why are they important?

To thrive as a Remote SQL Finance professional, you need a solid background in finance or accounting, strong SQL programming skills, and experience with financial data analysis. Familiarity with database management systems (such as Microsoft SQL Server or Oracle), financial reporting tools, and possibly certifications like CPA or CFA are commonly required. Analytical thinking, attention to detail, and effective remote communication are vital soft skills for success in this role. These skills ensure accurate financial data management, insightful reporting, and smooth collaboration in distributed work environments.

What is the difference between Remote Sql Finance vs Remote Data Analyst?

AspectRemote Sql FinanceRemote Data Analyst
Required CredentialsSQL certifications, finance or accounting backgroundSQL skills, data analysis certifications, statistical knowledge
Work EnvironmentFinance teams, accounting departments, financial institutionsBusiness units, marketing, operations, consulting firms
Industry UsageFinance, banking, investment firmsRetail, healthcare, technology, consulting
Common Search/ComparisonYesNo

Remote Sql Finance and Remote Data Analyst roles both require strong SQL skills, but Remote Sql Finance focuses on financial data, accounting, and finance-specific tools, often within finance or banking industries. Remote Data Analysts work across various sectors analyzing diverse datasets to support business decisions. While they share technical skills, their industry focus and job functions differ, making each role suited to different career paths.

More about Remote Sql Finance jobs
What cities are hiring for Remote Sql Finance jobs? Cities with the most Remote Sql Finance job openings:
What are the most commonly searched types of Sql Finance jobs? The most popular types of Sql Finance jobs are:
What states have the most Remote Sql Finance jobs? States with the most job openings for Remote Sql Finance jobs include:
What job categories do people searching Remote Sql Finance jobs look for? The top searched job categories for Remote Sql Finance jobs are:
Remote Sql Finance jobs near you
Infographic showing various Remote Sql Finance job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

Financial & Data Analyst

Pavago

Remote

Full-time

Posted 12 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.

Apply