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Insurance Data Analyst Jobs in Madison, WI (NOW HIRING)

... analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union ...

... analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union ...

Data Modeler (insurance Domain)

Madison, WI · On-site

$55.25 - $71.50/hr

Our company provides application analysis, design, development and programming, software ... Basic understanding and experience of the Insurance business domain Knowledge of ACORD data model ...

Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ... insurance, tax-advantaged savings accounts, and participation in the nationally recognized ...

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Showing results 1-20

Insurance Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137.1K

How much do insurance data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for insurance data analyst in Madison, WI is $83,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 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 job categories do people searching Insurance Data Analyst jobs in Madison, WI look for? The top searched job categories for Insurance Data Analyst jobs in Madison, WI are:
Infographic showing various Insurance Data Analyst job openings in Madison, WI as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $83,283 per year, or $40 per hour.
IT Product Configuration Business Analyst (Modeler)

IT Product Configuration Business Analyst (Modeler)

Springs Window Fashions

Middleton, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Springs Window Fashions rating

4.8

Company rating: 4.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

The Best Experience Company 

Our tagline is “The Best Experience Company.” More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America’s premier window covering company, we’re committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you’re excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you! 

The IT Product Configuration Business Analyst (Modeler) translates customer design choices into custom window coverings. This role ensures that dealers, end users, and manufacturing systems interact with product information that is clear, validated, and production ready. Working across product management, engineering, IT, and operations, the modeler configures, documents, and maintains electronic product rules that drive ordering accuracy, pricing, and manufacturability.

The ideal candidate is detail-oriented, logically minded, and experienced with product-based rules, conditional logic, and structured data. They should enjoy collaborating with business teams, solving ambiguity, and turning product knowledge into clean, reliable configuration logic.

Key Responsibilities

Product Modeling & Configuration

  • Build and maintain product configuration models using internal tools (e.g., Magic Tool, Frontier/FRN platforms, PCM workbench).
  • Translate business and engineering requirements into rules, validations, option logic, segment structures, and dynamic behavior.
  • Configure model options, families, select tables, matrices, color lists, and dependent attributes for new and existing products.
  • Maintain dynamic SKU or singleSKU logic depending on product strategy.

CrossFunctional Coordination

  • Partner closely with product managers, engineers, and internal customers to document requirements and ensure accurate model behavior.
  • Support manufacturing, purchasing, and customer service by ensuring configuration outputs match operational needs and production flows.
  • Participate in product introduction planning and model setup for new launches (such as Roman shades, awnings, power shades, etc.).

Data & Rule Quality Assurance

  • Conduct testing to ensure correct rule execution, error handling, and compatibility logic.
  • Troubleshoot issues in production ordering or manufacturing systems related to configuration defects.
  • Validate configuration lists, matrices, retrieval tables, BOM-related logic, and display behavior for endusers.

Documentation & Standards

  • Create and maintain documentation for configuration rules, logic flows, product behavior, and change logs.
  • Follow established naming conventions, configuration standards, and modeling processes as outlined in internal modeling guides (e.g., MagicToolTaskNotes).
  • Contribute to process improvements and best practices for configuration modeling across the organization.

Education and Experience

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
  • 3+ years in a manufacturing environment.
  • Strong analytical and logical reasoning skills.
  • Ability to interpret product specifications, BOM structures, and engineering requirements.
  • High attention to detail and ability to manage complex rule sets.
  • Proficiency in Excel and comfort working with structured data.
  • Strong written and verbal communication skills with the ability to collaborate across teams.

Preferred Qualifications

  • Experience in window treatments or other highly configurable product industries.
  • Experience with product configuration systems (Frontier 2.2 / 3.2 / 4.2, Magic Tool, PCM, or similar).
  • Familiarity with scripting logic, matrices, or rule-driven systems.
  • Experience supporting both ordering and manufacturing configuration flows.
  • Ability to work with IT teams on integrations, data mapping, or tool enhancements.

How We Work to Deliver a Best Experience: Our Culture

  • Our Core Value: We do the right thing, always
  • Our Seven Cultural Behaviors
    • Empowerment - We trust our people.
    • Ownership - We take 100% responsibility for our roles actions, and results.
    • Leadership - We all lead by example and talk direct with respect (DWR).
    • One Team - We are One Springs Team.
    • Customer First - We consider our customers' needs before every decision.
    • Continuous Innovation - We are constantly learning, innovating, and improving.
    • Speed - We define priorities and operate with a sense of urgency and agility.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance,  vision insurance, 401(k) retirement plan with up to 5% company match of eligible contributions, life insurance, long-term disability insurance, short-term disability insurance, paid sick time at an amount that meets or exceeds all local requirements, paid vacation time (pro-rated for current year based on start date), paid holidays per year, and one paid volunteer day off per year.