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Virtual Financial Data Analyst Jobs in Wisconsin

Develop data models and dashboards * Support forecasting and financial planning * Assist in ... Key Responsibilities 1) Data & Analytics * Develop and maintain dashboards and reports across ...

Skills & Qualifications * 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended. * Expert Excel skills and very strong with ...

Helping the customers and businesses we serve to make better and smarter financial decisions and ... We are seeking a Data Analyst to support the design, development, and implementation of new ...

Data Analyst

Madison, WI ยท Remote

$115K/yr

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... financial strength rating. If you're ready to be part of a team that values your expertise and ...

Data Analyst

Madison, WI ยท Remote

$115K/yr

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... financial strength rating. If you're ready to be part of a team that values your expertise and ...

YOUR TASKS * Create data model processes, conduct analysis, and report results across all ... Voluntary benefits such as legal and financial assistance, pet insurance, and more. * Employee ...

Requirements Skills & Qualifications * 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended. * Expert Excel skills and very ...

Data Analyst

Madison, WI ยท On-site +1

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... A+ AM Best financial strength rating. If you're ready to be part of a team that values your ...

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... A+ AM Best financial strength rating. If you're ready to be part of a team that values your ...

Financial Analysis & Data Analytics Support * Assist with preparing financial reports and spreadsheets. * Support budget tracking and variance analysis. * Analyze financial data and identify trends.

Emplify Health by Bellin is Hiring an Accountable Care Health Data Analyst for Value-Based Care and ... Turns enterprise clinical, claims, and financial data into insights that drive performance across ...

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Virtual Financial Data Analyst information

Is FP&A a stressful job?

Financial Planning and Analysis (FP&A) roles can be stressful due to tight deadlines, high accuracy requirements, and the need for detailed financial forecasting. The workload may fluctuate with business cycles and reporting periods, requiring strong analytical skills and attention to detail. However, stress levels vary depending on company culture, workload management, and individual resilience.

How much can a remote data analyst make?

A remote virtual financial data analyst typically earns between $50,000 and $85,000 annually, depending on experience, skills, and industry. Senior analysts or those with specialized skills in tools like Excel, SQL, or Python can earn higher salaries, especially with certifications and advanced expertise.

What does a virtual data analyst do?

A virtual financial data analyst collects, analyzes, and interprets financial data to support business decision-making. They use tools like Excel, SQL, or data visualization software and often work remotely, requiring strong analytical skills and attention to detail.

Is AI replacing financial analysts?

AI is transforming the role of financial data analysts by automating data processing and analysis tasks, allowing analysts to focus on strategic decision-making. While AI tools can handle routine work, human expertise remains essential for interpreting complex data, providing insights, and making judgment-based recommendations. Financial analysts who develop skills in data analysis, programming, and AI tools will continue to be valuable in the evolving job market.

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

AspectVirtual Financial Data AnalystVirtual Financial Analyst
CredentialsTypically requires a degree in finance, accounting, or data analysis; certifications like CFA or CPA are commonUsually holds a degree in finance or related field; certifications like CFA are advantageous but not mandatory
Work EnvironmentFocuses on analyzing financial data, creating reports, and data modeling remotelyInvolves financial planning, investment analysis, and advising, often with data analysis components remotely
Employer & Industry UsageUsed by finance firms, investment companies, and corporations for data-driven decision makingEmployed by banks, investment firms, and corporate finance departments for financial strategy and analysis

While both roles involve finance and data skills, the Virtual Financial Data Analyst primarily focuses on analyzing and interpreting financial data, whereas the Virtual Financial Analyst often combines data analysis with financial planning and advising. The roles overlap in skills and work environment but differ in core responsibilities.

What are the most commonly searched types of Financial Data Analyst jobs in Wisconsin? The most popular types of Financial Data Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Virtual Financial Data Analyst jobs? Cities in Wisconsin with the most Virtual Financial Data Analyst job openings:
FP&A Data Analyst

FP&A Data Analyst

MTE Corporation

Menomonee Falls, WI โ€ข On-site

Full-time

Posted 18 days ago


Job description

About the Role
We are seeking a highly analytical, intellectually curious professional to join our finance team in a hybrid FP&A and Data Analytics role with growing exposure to AI-enabled tools and capabilities.
This position is ideal for someone early in their career who wants to go beyond traditional FP&A and help build the next generation of data-driven decision-making in a manufacturing environment.
You will work across functions to:
  • Improve visibility into key business drivers
  • Automate and enhance reporting
  • Develop data models and dashboards
  • Support forecasting and financial planning
  • Assist in piloting practical AI use cases

This is a high-impact, high-growth role designed for an individual who wants to build a career at the intersection of finance, data, and AI. You will play a key role in shaping how data is used to drive performance across the organization.
Key Responsibilities
1) Data & Analytics
  • Develop and maintain dashboards and reports across functions and areas of the business
  • Work with ERP and operational data to build clean, reliable datasets
  • Automate recurring reporting and reduce reliance on manual Excel processes
  • Analyze business performance and identify trends, risks, and opportunities

2) FP&A & Financial Analysis
  • Support monthly forecasting, budgeting, and variance analysis
  • Build and enhance driver-based financial models (volume, mix, cost, efficiency)
  • Translate operational metrics into financial impact
  • Assist with:
    • Pricing/Margin analysis
    • Cost reduction initiatives
    • Working capital and inventory insights

3) AI & Advanced Analytics (Development Focus)
  • Support evaluation and implementation of practical AI use cases, such as:
    • Demand or lead-time forecasting
    • Operational trend and anomaly detection
    • Inventory optimization
  • Use tools such as:
    • Claude, Copilot and other AI tools
    • Power BI/Tableau reporting features
    • Python
  • Help embed insights into daily decision-making processes

Qualifications
Required
  • Bachelor's degree in:
    • Finance, Accounting, Data Analytics or related field
  • 2-5 years of experience in:
    • FP&A, financial analysis or data/operations analytics
  • Advanced Excel skills (modeling, data analysis)
  • Experience with Power BI, Tableau or similar tools
  • Strong analytical and problem-solving skills
  • Ability to communicate clearly with both technical and non-technical teams
  • Fluency in English (additionally Spanish is a strong plus)
  • Exposure to:
    • ERP systems (SAP, Oracle, Epicor, etc.)
    • SQL or database querying
    • Python or similar tools
  • Experience with AI / machine learning applications