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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$35 - $47.75/hr
Experience working with financial accounting systems or ERP platforms. * Experience deploying or ... Flexible remote working environment. * Opportunity to develop expertise across databases ...
$35 - $47.75/hr
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Database Administrator II (SQL DBA) - REMOTE
$75K - $96K/yr
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Oracle APEX PL-SQL Core Formula Developer
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Oracle APEX PL-SQL Core Formula Developer
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Remote (U.S.-based) Job Type: Full-Time / Contract About the Role: We're looking for a detail-oriented and highly analytical Financial Crime Data Analyst with expert-level SQL skills and experience ...
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Remote Sql Finance information
See salary details
$21.5K - $31.1K
1% of jobs
$31.1K - $40.7K
0% of jobs
$40.7K - $50.3K
2% of jobs
$50.3K - $59.9K
7% of jobs
$59.9K - $69.5K
8% of jobs
$72K is the 25th percentile. Wages below this are outliers.
$69.5K - $79K
23% of jobs
The median wage is $83K / yr.
$79K - $88.6K
19% of jobs
$97.7K is the 75th percentile. Wages above this are outliers.
$88.6K - $98.2K
15% of jobs
$98.2K - $107.8K
12% of jobs
$107.8K - $117.4K
4% of jobs
$117.4K - $127K
8% of jobs
$21.5K
$87.6K
$127K
How much do remote sql finance jobs pay per year?
How does a Remote SQL Finance professional typically collaborate with cross-functional teams while working remotely?
What is a Remote SQL Finance job?
What are the key skills and qualifications needed to thrive as a Remote SQL Finance professional, and why are they important?
What is the difference between Remote Sql Finance vs Remote Data Analyst?
| Aspect | Remote Sql Finance | Remote Data Analyst |
|---|---|---|
| Required Credentials | SQL certifications, finance or accounting background | SQL skills, data analysis certifications, statistical knowledge |
| Work Environment | Finance teams, accounting departments, financial institutions | Business units, marketing, operations, consulting firms |
| Industry Usage | Finance, banking, investment firms | Retail, healthcare, technology, consulting |
| Common Search/Comparison | Yes | No |
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.

Full-time
Posted 28 days ago
Job description
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.