1

Insurance Data Analyst Jobs in Wisconsin (NOW HIRING)

Data Analyst

Madison, WI ยท Remote

$100K - $115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

New

Data Analyst

Madison, WI ยท Remote

$100K - $115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

New

Data Analyst

Milwaukee, WI ยท On-site

$100K - $115K/yr

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

Data Analyst

Madison, WI ยท On-site +1

$100K - $115K/yr

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

Additional information can be found at www.ttm.com TTM Technologies is seeking a Data Analyst with ... insurance, disability benefits, paid vacation & holidays. Benefits are available 1st of the month ...

Additional information can be found at www.ttm.com TTM Technologies is seeking a Data Analyst with ... insurance, disability benefits, paid vacation & holidays. Benefits are available 1st of the month ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

next page

Showing results 1-20

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 cities in Wisconsin are hiring for Insurance Data Analyst jobs? Cities in Wisconsin with the most Insurance Data Analyst job openings:
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.
Data Analyst

Data Analyst

Rural Mutual Insurance

Madison, WI โ€ข Remote

$100K - $115K/yr

Full-time

Posted 2 days ago


Job description

Rural Mutual Insurance, one of the top 50 property and casualty companies in the nation, has been protecting what we value in Wisconsin for over 90 years and proudly continues that mission today. We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives.

  • This is a remote position.
  • Candidates must live and work in Wisconsin.
  • Requires eligibility to work in the United States without sponsorship.


At Rural Mutual Insurance, we offer a supportive work environment, career growth opportunities, and a comprehensive compensation package that includes health, dental, and vision insurance, a matching 401(k), and generous time off. Weโ€™ve earned consistent recognition as a Madison Magazine Best Places to Work, and an A+ AM Best financial strength rating. If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!

Compensation:

$100,000 - $115,000 yearly


Responsibilities:
  • Develop and maintain high-quality reports and dashboards using Microsoft Power BI
  • Gather and analyze technical requirements from stakeholders across the organization
  • Develop and maintain data models to support analytics, reporting, and self-service BI
  • Provide ongoing administration, tuning, and support for Power BI and related tools
  • Establish and promote standards for report design, data modeling, and data visualization
  • Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across systems and reporting solutions
  • Analyze complex datasets to identify trends, risks, and opportunities, delivering actionable insights to business leaders
  • Support and influence data governance, documentation, and data quality initiatives
  • Contribute to the design and evolution of data architecture, including data transformations and pipeline development using tools such as dbt or similar frameworks
  • Mentor and guide less experienced analysts, fostering best practices in BI development and data modeling
  • Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics

Qualifications:
  • Bachelorโ€™s Degree in Computer Science, Information Technology, or related field, or an equivalent combination of education and experience
  • 5+ years of relevant data analyst experience
  • Advanced experience building scalable, insight-driven dashboards and reports using Microsoft Power BI or similar business intelligence tools, including performance optimization and troubleshooting
  • Strong understanding of data visualization best practices, including user experience (UX) design and storytelling with data
  • Experience developing and maintaining standards for report design, performance, and usability
  • Solid knowledge of data modeling techniques, including dimensional modeling and semantic layer design
  • Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.
  • Experience with data transformation tools (e.g., dbt)
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake)
  • Understanding of version control tools (e.g., Git) and collaborative development practices is a plus
  • Candidate must live and work in Wisconsin
  • Eligible to work in the United States without sponsorship

About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits.