ZipRecruiter

Log In

1

Insurance Data Analytics Jobs in Wisconsin (NOW HIRING)

Inizio Partners Corp

Sr. Fabric Data Engineer

Madison, WI

$106.80K - $145.10K/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.

WPS Health Solutions

Data Analyst

Madison, WI · On-site +1

... insurance systems and the claims processing workflow. * Experience with Medicare, Medicaid, TRICARE, VA, or healthcare claims preferred. * Experience in a clinical or business data analytics role ...

next page

Showing results 1-20

People also search for

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Wisconsin

Insurance Data Analytics information

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.
More about Insurance Data Analytics jobs
What are the most commonly searched types of Insurance Data Analytics jobs in Wisconsin? The most popular types of Insurance Data Analytics jobs in Wisconsin are:
What are popular job titles related to Insurance Data Analytics jobs in Wisconsin? For Insurance Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Wisconsin look for? The top searched job categories for Insurance Data Analytics jobs in Wisconsin are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Wisconsin as of May 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Analytics Data Developer - Strategic Analytics

Analytics Data Developer - Strategic Analytics

Acuity Insurance

Sheboygan, WI • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Acuity Insurance is seeking an Analytics Data Developer to enhance their Strategic Analytics Team by designing, building, and optimizing data pipelines and data marts. This role is crucial for ensuring high-quality data is available for insight generation and decision-making across the enterprise.
Responsibilities:
• Design, build, and optimize scalable and maintainable data pipelines and data marts to support analytics and reporting needs.
• Perform data ingestion, transformation, and enrichment from various structured and unstructured data sources.
• Monitor, troubleshoot, and optimize pipelines to ensure data quality, reliability, and performance.
• Maintain strong data governance by adhering to established standards for data quality, lineage, security, and documentation.
• Collaborate closely with data scientists, analysts, engineers, and business partners to translate analytic requirements into efficient data solutions.
• Contribute to continuous improvement efforts through automation, performance tuning, and best practice adoption in data development.
• Support data platform modernization efforts by integrating new technologies and approaches that enhance analytical capability.
• Excellent teamwork, coordination, influence and communication skills.
• Ability to develop timely and effective solutions for challenging design problems.
• Establishes relationships with data owners, experts and SMEs across a wide variety of Acuity data domains.
• Work closely with data scientists and analysts to develop and build analytical products.
• Acquire, analyze, combine, synthesize, and store data from a wide range of internal and external sources as it pertains to model development.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Partner with business and technical leaders to prioritize data needs to expand Acuity’s analytical data universe.
• Develops and supports monitoring solutions for the ML system and components.
Qualifications:
Required:
• Bachelor’s degree in computer science, MIS, Data Engineering, Business or related field.
• 3+ years of experience developing data pipelines, data marts, or ETL/ELT workflows in a modern data environment.
• Proficiency in SQL and at least one programming language such as Python, Scala, or Java.
• Demonstrated experience designing and implementing Medallion Architecture (Bronze–Silver–Gold layers) in a cloud or distributed data environment.
• Experience with modern data warehousing and processing platforms (e.g., Snowflake, Databricks, Azure Synapse, or similar).
• Familiarity with data governance, metadata management, and version control best practices.
• Strong problem-solving skills, attention to detail, and ability to operate independently in a fast-paced, collaborative environment.
• Excellent communication and interpersonal skills with a demonstrated ability to work effectively with both technical and non-technical stakeholders.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Company:
Acuity Insurance is a leading provider of insurance solutions, delivering exceptional coverage and customer service to individuals and businesses in over 30 states. Founded in 1925, the company is headquartered in Sheboygan, Wisconsin, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Apply