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Insurance Data Analyst Jobs in Wisconsin (NOW HIRING)

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 ...

New

Customer Logistics Data Analyst Essity is a global leader in health and hygiene with our corporate ... United Healthcare PPO / EyeMed Vision Insurance / Delta Dental Insurance * Wellness program ...

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 ...

... data that drives claims processing. The Workflow Systems Configuration Analyst I is also ... insurance, computer sciences or related field, or equivalent combination * Demonstrates strong ...

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

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

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

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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 Jul 13, 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.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office environment.

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 industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

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.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making for insurance policies and claims. They use tools like Excel, SQL, and data visualization software to interpret data and improve underwriting, pricing, and fraud detection processes.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing 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 path.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.
Lead Data Analyst

$99K - $167K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

This position provides analytics services to the business, delivering insights, measurement frameworks, and data-driven recommendations that support strategic decision-making across key initiatives. You will lead analytics efforts across a diverse portfolio of business programs, including AI/ML initiatives, product enhancements, operational improvements, and customer experience efforts. Partner with Data Science, Product, Engineering, and business stakeholders to deliver interpretable analyses, governed datasets and pipelines, and actionable reporting solutions. Develop dashboards and monitoring frameworks that track business outcomes, operational performance, and, where applicable, model health, adoption, and fairness metrics. Establish analytics best practices, mentor analysts, and communicate executive-ready insights and recommendations that drive measurable business value.
Position Compensation Range:
$99,000.00 - $167,000.00
Pay Rate Type:
Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Primary Accountabilities
  • Works with business partners in the development and delivery of key performance analysis and reporting.
  • Builds and maintains various models used to project business results; enhances the model where there is business value in adjusting the models.
  • Ensures analysis and reporting accuracy and integrity and explains performance drivers and provides insights into performance trends.
  • Creates, executes and maintains forecasting models; speaks to the underlying assumptions and inter-workings of the model used to create the forecast.
  • Communicates findings to various stakeholders and leadership with recommendations for actions to address business changes, trends, and issues.
  • Evaluates, designs, tests and maintains data/analytics systems and make recommendations for new tools and system enhancements.
  • Develops, tests, and deploys complex automated reporting solutions and automated decision analytics to replace manual business processes.
  • Develops and defines standard analytics and reporting governance and communication and ensures adherence to standards.

Specialized Knowledge & Skills Requirements
  • Demonstrated experience providing customer-driven solutions, support or service.
  • Solid knowledge and understanding of forecasting techniques or statistical analysis or data modeling or data mining.
  • Demonstrated experience utilizing software tools to query and report data.
  • Demonstrated experience with a variety of standard reporting software packages and best practices for report deployment processes.
  • Demonstrated experience communicating/presenting complex and independent concepts and unbiased fact-based decision-making and financial performance.
  • Demonstrated experience developing complex data sets for wide-spread use.
  • Lead end-to-end analytics and experimentation for AI/ML programs. This includes use-case discovery, Measurement definition, data requirements, measurement plan, and post-launch monitoring. The goal is to measure growth and model performance.
  • Partner with Data Science, Product, Engineering, and partners to translate AI problems into clear analytical questions. Define success metrics, such as/recall, drift, and fairness, and ensure solutions are interpretable and applicable.
  • Develop scalable datasets, feature/label definitions, and analytical pipelines; ensure data quality, lineage, and governance readiness for AI products.
  • Develop dashboards and recurring insights on model health and adoption (performance, stability, bias, customer outcomes), and flag risks/opportunities.
  • Establish best practices for AI analytics: documentation, reproducible analysis, experiment design, metric standards, and model monitoring/validation requirements.
  • Mentor analysts and influence standards across the team; communicate insights to executives through crisp narratives, visuals, and recommendations.

We will expect you to work 10 days per month from the office. You should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110;
#LI-Hybrid
Licenses
  • Not Applicable.

Travel Requirements
  • Up to 10%.

Physical Requirements
  • Work that primarily involves sitting/standing.

Working Conditions
  • Not Applicable.

Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.