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Financial Data Analyst Jobs in Wisconsin (NOW HIRING)

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 ...

Data Analyst

Madison, WI · 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 · 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 ...

Cross-Sell Data Analyst The cross-sell data analyst is responsible for identifying cross-sell ... Bachelor's degree with a major in Data Science, Statistics, Business, Finance, Economics

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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Showing results 1-20

Financial Data Analyst information

See Wisconsin salary details

$35.3K

$86.3K

$143.3K

How much do financial data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for financial data analyst in Wisconsin is $86,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $101,400.00 per year, depending on experience, location, and employer.

What are Financial Data Analysts?

Financial Data Analysts are professionals who collect, process, and analyze financial data to help organizations make informed business decisions. They use statistical tools and financial modeling techniques to interpret data, identify trends, and forecast future financial performance. Their work supports budgeting, investment strategies, risk assessment, and overall financial planning. Financial Data Analysts often collaborate with other departments to provide insights that drive business growth and efficiency.

What Does a Financial Data Analyst Do?

Financial data analysts examine financial records and prepare comprehensive reports for their company. These reports are used to identify the current direction of production and help managers forecast future trends. As a financial data analyst, your job duties include compiling data from the market and various departments within the company, analyze the information, and create reports for upper management. The qualifications to pursue a career as a financial data analyst include a bachelor’s degree in finance, economics, accounting, or a related field and industry experience.

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 job often involves long hours during reporting periods and requires strong analytical skills and attention to detail, which can contribute to stress levels.

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

To thrive as a Financial Data Analyst, you need strong analytical skills, a solid understanding of finance and accounting principles, and a bachelor's degree in finance, economics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are often expected. Attention to detail, problem-solving abilities, and clear communication skills set exceptional analysts apart in interpreting and presenting complex data. These skills are vital for delivering accurate financial insights that inform business decisions and drive organizational success.

What are some common challenges Financial Data Analysts face when communicating their findings to non-technical stakeholders?

Financial Data Analysts often encounter the challenge of translating complex quantitative data and statistical analyses into clear, actionable insights for non-technical stakeholders. This requires not only a deep understanding of financial concepts but also strong communication skills to present data visually and narratively. Bridging this gap can involve tailoring presentations, using data visualization tools, and focusing on the business implications of the analysis rather than technical details. Effective collaboration with cross-functional teams, such as finance, operations, and management, is key to ensuring that data-driven recommendations are understood and implemented.

Do I need a CPA to be a financial analyst?

A CPA is not required to be a financial data analyst, as the role typically emphasizes skills in data analysis, financial modeling, and proficiency with tools like Excel and SQL. Relevant certifications such as the CFA or advanced degrees in finance or accounting can enhance job prospects but are not mandatory. Employers often prioritize analytical ability and experience over specific certifications like the CPA for this role.

What does a data analyst do in finance?

A financial data analyst examines financial data to identify trends, create reports, and support decision-making. They use tools like Excel, SQL, and data visualization software to analyze large datasets, assess financial performance, and help organizations optimize investments and manage risks.

Is AI replacing financial analysts?

AI is transforming the role of financial data analysts by automating routine tasks such as data collection and basic analysis, allowing analysts to focus on more complex decision-making and strategic insights. While AI tools enhance efficiency and accuracy, human judgment remains essential for interpreting nuanced financial data and making ethical decisions. The role continues to evolve with skills in data analysis, programming, and financial modeling becoming increasingly valuable.
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 Financial Data Analyst jobs? Cities in Wisconsin with the most Financial Data Analyst job openings:
What are popular job titles related to Financial Data Analyst jobs in WI? For Financial Data Analyst jobs in WI, the most frequently searched job titles are:
Infographic showing various Financial Data Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $86,258 per year, or $41.5 per hour.
FP&A Data Analyst

FP&A Data Analyst

MTE Corporation

Menomonee Falls, WI • On-site

Full-time

Posted 26 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