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Insurance Data Analytics Jobs in Minneapolis, MN

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Bachelor's degree in Data Analytics, Statistics, Information Systems, Computer Science, Business ... Medical/Hospitalization Medical/hospitalization insurance available per AST agreement District ...

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Bachelor's degree in Data Analytics, Statistics, Information Systems, Computer Science, Business ... Medical/Hospitalization Medical/hospitalization insurance available per AST agreement District ...

Lockton, Inc.

Pharmacy Data Analyst

Minneapolis, MN · On-site

A minimum of 1-2 years' experience in the insurance industry, specifically in employee welfare benefits or pharmacy data analytics * Knowledge of the Pharmacy Benefit Management (PBM) industry ...

Collabera

Data Analysis

Eagan, MN · On-site

... Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance ... Experiencein a Business Analyst or related role involving data analysis StrongExcel skills ...

Lockton Companies

Pharmacy Data Analyst

Minneapolis, MN · On-site

$55 - $75/hr

... insurance industry, specifically in employee welfare benefits or pharmacy data analytics Knowledge of the Pharmacy Benefit Management (PBM) industry preferred Demonstrate advance knowledge of ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Minneapolis, MN

Insurance Data Analytics information

See Minneapolis, MN salary details

$25

$57

$98

How much do insurance data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for insurance data analytics in Minneapolis, MN is $57.14, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $64.71 per hour, depending on experience, location, and employer.

What is insurance data analytics?

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 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.

What are the key skills and qualifications needed to thrive in insurance data analytics?

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.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

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

What are the most commonly searched types of Insurance Data Analytics jobs in Minneapolis, MN?

The most popular types of Insurance Data Analytics jobs in Minneapolis, MN are:

What are popular job titles related to Insurance Data Analytics jobs in Minneapolis, MN?

For Insurance Data Analytics jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Minneapolis, MN look for?

The top searched job categories for Insurance Data Analytics jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Insurance Data Analytics jobs?

Cities near Minneapolis, MN with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, and 7% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $118,861 per year, or $57.1 per hour.

Data & Analytics Consulting Internship - Summer 2027

Wipfli Advisory LLC

Minneapolis, MN • On-site

$32/hr

Other

Re-posted 18 days ago

Job description

Overview
At Wipfli, people count.
At Wipfli, our people are core to everything we do-the catalyst behind our ability to create exceptional impact and extraordinary results.
We believe in flexibility. We focus on relationships. We encourage each individual to follow their own path.
People truly matter and they feel it. For those looking to make a difference and find a professional home, Wipfli offers a career-defining opportunity.
Responsibilities
Responsibilities:
Are you interested in helping companies thrive through innovative thinking, structured problem solving and the implementation of information technology systems? Consider learning more about the Consulting Practice at Wipfli. Our consultants work closely with our clients to help them optimize their value streams - the way they deliver value via products and services to their customers.
More specifically consulting interns get involved with our clients in the following project experiences:
  • Analysis, design and implementation of Business Intelligence systems, enabling our
    clients to turn data into meaningful information to better serve critical business
    decisions
  • Create compelling dashboards to communicate insights effectively
  • Utilize tools such as Tableau, Power BI, Qlik and other for data visualization projects
  • Assist in the collection and organization of datasets from various sources
  • Alongside senior mentors assist with client data management needs
  • Business analysis and project management associated with industry software
    solutions in Insurance, Health Care, Construction and Manufacturing organizations
  • Proactively engage in training and learning opportunities to enhance your related
    skills

Knowledge, Skills and Abilities
Qualifications:
  • Pursuing an undergraduate degree in Information Systems, Business Administration,
    Data Science, Business Analytics, or other related field of study
  • Above average class performance as demonstrated by college GPA; Preferred 3.0 GPA or higher
  • Strong analytical and problem-solving skills.
  • Proficiency in data manipulation and analysis using tools like Python, R, or SQL
    preferred.
  • Basic knowledge of data visualization tools (e.g., Tableau, Power BI, Qlik) preferred.
  • Excellent communication and teamwork skills.
  • Ability to build and foster professional business relationships
  • Desire to help companies maximize value by leveraging technology and process
    improvement
  • Must be legally authorized to work in the United States on a full-time basis upon hire. Wipfli will not consider candidates for this position who require sponsorship for employment visa status now or in the future (e.g., H-1B status)

Damian Kauffman, from our recruiting team, will be guiding you through this process. Visit his LinkedIn page to connect!
#LI-Hybrid
#LI-DK1
Hybrid
#LI-D
Additional Details
Additional Details:
This role requires a hybrid work arrangement. At Wipfli, hyrbid work is defined as associates regularly working 2-3 days a week in a Wipfli office or at client sites. The client sites can vary locally, regionally, or nationally depending on the industry alignment. Scheduled meetings at the client and in the office require in-person attendance.
Not fully prepared to apply for an internship or not sure where to start? Please join our Talent Community to explore how you can stay connected to Wipfli.
Wipfli is an equal opportunity/affirmative action employer. All candidates will receive consideration for employment without regards to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identify, veteran status, disability, or any other characteristics protected by federal, state, or local laws.
Wipfli is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or participate in our recruiting process, please send us an email at hr@wipfli.com
Wipfli values fair, transparent, and competitive compensation, considering each candidate's unique skills and experiences. The estimated base pay rate for this role is $32.00/hour. The actual hourly at the time of offer depends on business related factors like location, skills, experience, training/education, licensure, certifications, business needs, current associate pay, and relevant employment laws.
Wipfli cares about our associates and offers a variety of benefits to support their well-being. Benefit offerings include paid sick leave; access to free, confidential counseling through our Employee Assistance Program.
"Wipfli" is the brand name under which Wipfli LLP and Wipfli Advisory LLC and its respective subsidiary entities provide professional services. Wipfli LLP and Wipfli Advisory LLC (and its respective subsidiary entities) practice in an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable law, regulations, and professional standards. Wipfli LLP is a licensed independent CPA firm that provides attest services to its clients, and Wipfli Advisory LLC provides tax and business consulting services to its clients. Wipfli Advisory LLC and its subsidiary entities are not licensed CPA firms.

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