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Insurance Data Analytics Jobs in Wisconsin (NOW HIRING)

Maximus

Data Coordination Analyst

Racine, WI · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Whitewater, WI · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Madison, WI · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Kenosha, WI · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Green Bay, WI · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Milwaukee, WI · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Menomonie, WI · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

IAT Insurance Group has an immediate opening for a Business Analyst from our Milwaukee, Wisconsin ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Wisconsin? The most popular types of Insurance Data Analytics jobs in Wisconsin are:
What are popular job titles related to Insurance Data Analytics jobs in Wisconsin? For Insurance Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Wisconsin look for? The top searched job categories for Insurance Data Analytics jobs in Wisconsin are:
Insurance Data Analytics jobs near you
Lead Product Quality - Data Analyst

Lead Product Quality - Data Analyst

Harley-Davidson

Wauwatosa, WI • On-site

Full-time, Part-time

Medical, Retirement

Posted 2 days ago

Job description

Auto req ID: 55270 
Title: Lead Product Quality - Data Analyst 
Job Function: Continuous Improvement and Quality 
Location: PDC
Workplace Category:Onsite 
Company: Harley-Davidson Motor Company 
Full or Part-Time: Full Time 
Shift: SHIFT1 

At Harley-Davidson, we are building more than machines. It’s our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us?

The Harley-Davidson Motor Company Product Development Center (PDC) located in Wauwatosa, WI is home to the mantra – You dream it. We build it. Join our team as a  Lead Product Quality - Data Analyst.

Job Summary

The Lead Product Quality Data Analyst plays a critical role in shaping data-driven decision making across Harley-Davidson’s global Quality organization. This role leads the strategy, development, and delivery of advanced analytics that drive improvements in product quality, warranty performance, and customer satisfaction.

This individual acts as a trusted advisor and subject matter expert, translating complex data into actionable insights, influencing cross-functional decisions, and enabling proactive identification and resolution of quality issues across product development, manufacturing, and field performance.


The ideal candidate thrives in ambiguity, demonstrates strong business acumen, and is passionate about uncovering the “why” behind data to drive meaningful outcomes.

Job Responsibilities

Strategic Leadership

  • Define and lead analytics strategy for warranty and quality data
  • Establish best-in-class approaches for data visualization and user interaction
  • Act as global SME for product quality analytics

Analytics & Insights

  • Apply advanced analytics techniques, including predictive modeling and machine learning, to anticipate quality risks
  • Develop scalable data solutions and automate data pipelines for improved efficiency
  • Ensure data accuracy, integrity, and governance across quality systems
  • Leverage modern analytics tools and AI capabilities to enhance insight generation

Data Product & Reporting

  • Design and deliver dashboards, KPIs, and self-service analytics tools
  • Standardize quality metrics across global operations
  • Improve accessibility and usability of data across stakeholders

Operational Support

  • Support investigations into emerging quality concerns
  • Lead warranty review cadence and decision-making forums
  • Enable data-driven problem-solving (e.g., 8D, root cause analysis)

Cross-Functional Leadership

  • Partner with Engineering, Manufacturing, Warranty, and Supplier Quality
  • Influence decision-making at multiple organizational levels
  • Coach and mentor analysts and business stakeholders
Education Requirements
High School Diploma or Equivalent Required
Education Specifications

A bachelor’s degree in a relevant quantitative discipline preferred. Advanced training in statistics, predictive analytics, business intelligence or a related field is preferred.

Experience Requirements

This position typically requires 8+ years of experience in data analytics, preferably in manufacturing or product quality environments.  In addition, the successful candidate will have demonstrated the following:

  • Proven track record of influencing business decisions through data insights
  • Experience supporting quality systems, warranty analysis, or field performance analytics strongly preferred
  • Demonstrated ability to work in ambiguous environments and lead cross-functional initiatives
  • Proven expertise with various quantitative techniques, data formats, and methodologies   
    • Data Visualization: Power BI, Tableau
    • Data Processing: SQL, Alteryx, Python, R
    • Statistical Methods: Reliability analysis (Weibull), regression, hypothesis testing
    • Data Platforms: Experience working with large, complex datasets across multiple systems
  • Demonstrated ability to lead without authority and influence cross-functional teams
  • Experience presenting to senior leadership and driving actionable outcomes
  • Ability to translate complex analytics into clear business narratives
  • General knowledge of manufacturing processes (assembly, machining, welding) a plus.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.

We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here. 

Applicants must be currently authorized to work in the United States.

Direct Reports: No  
Travel Required: 0 - 10%  
Pay Range: $107,100 - $165,900 
Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer  
Relocation: This position is eligible for domestic relocation assistance (within posted country)  

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