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Insurance Data Analyst Jobs in Wisconsin (NOW HIRING)

Stitchd

WI · On-site

$80 - $100/hr

As a data analyst, you dive in data gathered across digital platforms (websites, mobile apps ... insurance, pension plan, etc. * Flexible working hours: arrange your day as it suits you best. * A ...

ULINE

Data Analyst

Pleasant Prairie, WI · On-site

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!

Uline

Data Analyst

Pleasant Prairie, WI · On-site

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!

ULINE

Data Analyst

Milwaukee, WI · On-site

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!

Uline

Data Analyst

Pleasant Prairie, WI

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!

ULINE

Data Analyst

Kenosha, WI · On-site

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!

ULINE

Data Analyst

Pleasant Prairie, WI · On-site

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!

IAT Insurance Group

Business Data Analyst

Milwaukee, WI · On-site

$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 ...

Gritter Francona

WI · On-site

$100 - $125/hr

Gritter Francona is looking for a Senior Data Analyst to provide advanced data analytics and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

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 ...

Dentaquest

Workflow Data Analyst

Grafton, WI · On-site

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

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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 Sep 9, 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 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 are the key skills and qualifications needed to thrive as an insurance data analyst?

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 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.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.

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 September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Insurance Data Modeler / Business Analyst / Data Analyst - Atomic Data Vault

Wisconsin Dells, WI • On-site

ConglomerateIT
IT Services • 11 - 50 employees
Learn more about ConglomerateITexternal

$50.50 - $65.50/hr

Other

Posted yesterday

New

Job description

Title: Insurance Data Modeler / Business Analyst / Data Analyst Atomic Data Vault

Location: 100% Remote Milwaukee, WI based

Duration: Long Term Contract

Work Hours: U.S. Core Business Hours

Role Summary

We are seeking an Insurance Data Modeler / Business Analyst with strong Property & Casualty (P&C) Insurance functional experience, hands-on Atomic Data Vault (ADV / Data Vault 2.0) modeling, and Source-to-Target Mapping (STM) expertise. The role will analyze insurance source systems, translate business requirements into data models, and design Hubs, Links, and Satellites for an enterprise data transformation initiative. This is not a pure Data Engineering role; strong insurance domain and data modeling experience are essential.

Responsibilities
  • Design and develop Atomic Data Vault (ADV) models including Hubs, Links, and Satellites.
  • Perform Source-to-Target Mapping (STM) across insurance source systems.
  • Analyze and document Property & Casualty insurance data including policies, claims, billing, underwriting, and financial data.
  • Translate business requirements into logical and physical data models.
  • Profile source data and identify business keys, relationships, attributes, and transformation rules.
  • Collaborate with business stakeholders, data architects, and engineering teams.
  • Maintain data dictionaries, lineage, mapping documents, and modeling artifacts.
  • Support data migration, validation, reconciliation, and data quality activities.
Must-Have Skills (Priority Order) Priority Skill 1 Property & Casualty (P&C) Insurance Domain Experience 2 Atomic Data Vault (ADV) / Data Vault 2.0 Modeling 3 Source-to-Target Mapping (STM) 4 Data Modeling Logical & Physical 5 Insurance Data Analysis / Functional Experience 6 Hubs, Links & Satellites Classification 7 Strong SQL & Data Profiling 8 Erwin Data Modeler

Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

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