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Insurance Data Analyst Jobs in Wisconsin (NOW HIRING)

Bellin

People Data Analyst

Green Bay, WI · On-site +1

The People Data Analyst will acquire, transform, and analyze data to produce visualizations and ... Top-notch benefits: 401(k) with matching, paid time off, competitive health insurance, wellness ...

SYNTEGON

Master Data Analyst

New Richmond, WI

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Employer-paid Short- and Long-Term Disability Insurance, plus Life Insurance for your peace of mind.

SYNTEGON

Master Data Analyst

New Richmond, WI

$80K/yr

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Employer-paid Short- and Long-Term Disability Insurance, plus Life Insurance for your peace of mind.

SYNTEGON

Master Data Analyst

New Richmond, WI · On-site

$80K/yr

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Employer-paid Short- and Long-Term Disability Insurance, plus Life Insurance for your peace of mind.

Independencepetgroup

We believe pet insurance is more than a financial product and build solutions to simplify the pet ... You will analyze marketing, website, and sales performance and translate complex data into clear ...

Independencepetgroup

We believe pet insurance is more than a financial product and build solutions to simplify the pet ... You will analyze marketing, website, and sales performance and translate complex data into clear ...

Bellin

Accountable Care Data Analyst

Green Bay, WI · On-site

Emplify Health by Bellin is Hiring an Accountable Care Health Data Analyst for Value-Based Care and ... Top-notch benefits: 401(k) with matching, paid time off, competitive health insurance, wellness ...

Inizio Partners

Sr. Fabric Data Engineer

Madison, WI

$150K - $160K/yr

... Analytics, and OneLake. * Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.

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Showing results 1-20

All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Wisconsin

Insurance Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do insurance data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for insurance data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What does a data analyst do at an insurance company?

An insurance data analyst collects, analyzes, and interprets data related to policies, claims, and customer information to identify trends and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, pricing, and risk assessment processes.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require knowledge of insurance industry metrics to improve underwriting, claims processing, and customer insights.

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

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an Insurance Data Analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an Insurance Data Analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

Is AI replacing data analysts?

AI is transforming the role of insurance data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting results, ensuring data quality, and applying domain knowledge. The role continues to evolve with skills in data management, programming, and AI tools being increasingly valuable.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career shift.
What are popular job titles related to Insurance Data Analyst jobs in Wisconsin? For Insurance Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Wisconsin look for? The top searched job categories for Insurance Data Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Insurance Data Analyst jobs? Cities in Wisconsin with the most Insurance Data Analyst job openings:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Wisconsin as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.
Insurance Systems Strategist & Data Analyst

Insurance Systems Strategist & Data Analyst

Vizance, Inc.

Hartland, WI

Other

Posted 7 days ago

Job description

Description

The Systems Strategist & Data Analyst is responsible for designing, building, and supporting AI-driven solutions, system integrations, and data workflows that improve how Vizance operates.


This is a hands-on role focused on delivering practical, working solutions. You will partner closely with internal teams to understand business processes, analyze data to uncover insights, and develop AI-enabled workflows and tools that drive efficiency and better decision-making.


You will also serve as a central coordinator for technology decisions, collaborating across teams, leadership, and external partners to ensure systems are aligned, scalable, and effectively utilized.

Success in this role requires a strong curiosity and a willingness to learn the insurance industry, our workflows, and how our teams operate, enabling you to build solutions that are accurate, relevant, and impactful. As a new position, this role will continue to evolve alongside the needs of the organization.


Responsibilities

  • Design and implement AI-driven workflows and agents to support business operations 
  • Build and maintain integrations between internal systems and external platforms (APIs, data pipelines) 
  • Prototype, test, deploy, and improve solutions based on real-world use 
  • Analyze business and operational data to identify trends, inefficiencies, and opportunities for improvement 
  • Develop dashboards, reports, and data tools to support decision-making across teams 
  • Ensure that workflows and tools align with long-term scalability, data integrity, and system consistency
  • Work with stakeholders to define key metrics, reporting needs, and performance indicators
  • Translate business needs into scalable technical solutions 
  • Troubleshoot system and integration issues 
  • Support data governance, security, and best practices 
  • Learn  and understand Vizance' s workflows, systems, and data in order to build accurate and effective solutions 
  • Partner directly with associates to observe processes, gather requirements, and identify high-impact opportunities

Knowledge & Skills

  • Understanding of AI/LLMs and how they integrate with systems and workflows 
  • Working  knowledge of SQL and relational databases 
  • Strong problem-solving and analytical skills 
  • Ability  to communicate technical concepts to non-technical users 
  • Self-starter with the ability to take solutions from concept to deployment 
  • Ability to translate business processes and data into actionable insights and      solutions 
  • Curiosity  and willingness to learn a complex, domain-specific industry (insurance)

What Sets This Role Apart

  • Focus on practical AI application, not theoretical research 
  • Ownership of solutions from idea through implementation 
  • Direct impact on how Vizance operates day-to-day 
  • Opportunity to shape the organization's approach to AI, automation, and data 

Why Vizance

Vizance is a growing independent insurance agency focused on serving clients well and operating efficiently. While we are not a software company, we believe AI will play a major role in how businesses operate in the future.

This role offers the opportunity to apply AI in a meaningful, real-world environment, building solutions that directly impact team productivity, client experience, and business performance.

Requirements

Education & Experience

  • Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 
  • Experience building AI-enabled workflows, automation, or system integrations 
  • Experience working with APIs, structured data, and BI tools (Power BI, Tableau, etc.)      
  • Experience working with business data, reporting, or analytics in a real-world environment 

Apply