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Biomedical Data Analyst Remote information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do biomedical data analyst remote jobs pay per year?
What does a biomedical data analyst do in a remote position?
What are the key skills and qualifications needed to thrive as a biomedical data analyst in a remote setting?
What are some common challenges faced by remote biomedical data analysts, and how can they be addressed?
What cities are hiring for Biomedical Data Analyst Remote jobs?
Cities with the most Biomedical Data Analyst Remote job openings:
What are the most commonly searched types of Biomedical Data Analyst jobs?
The most popular types of Biomedical Data Analyst jobs are:
What states have the most Biomedical Data Analyst Remote jobs?
States with the most job openings for Biomedical Data Analyst Remote jobs include:
What job categories do people searching Biomedical Data Analyst Remote jobs look for?
The top searched job categories for Biomedical Data Analyst Remote jobs are:

Full-time
Re-posted 2 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.