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Insurance Data Analytics Jobs in Wisconsin (NOW HIRING)

Data Analytics - Operations

Milwaukee, WI · Hybrid

$84K - $106K/yr

As a Data Analyst , you'll work with powerful tools like SQL, Alteryx, and DOMO to transform ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Data Analytics - Operations

Milwaukee, WI · On-site

$84K - $106K/yr

As a Data Analyst , you'll work with powerful tools like SQL, Alteryx, and DOMO to transform ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Analytics) - Remote Your Role: The Customer Data Hub is a foundational enterprise capability ...

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Analytics) - Remote Your Role: The Customer Data Hub is a foundational enterprise capability ...

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Analytics) - Remote Your Role: The Customer Data Hub is a foundational enterprise capability ...

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Analytics) - Remote Your Role: The Customer Data Hub is a foundational enterprise capability ...

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 ...

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... Partner with business stakeholders, analysts, and technical teams to translate complex business ...

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... Partner with business stakeholders, analysts, and technical teams to translate complex business ...

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management ... Benefits package includes: fully paid health, dental, life and disability insurance (for ...

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management ... Benefits package includes: fully paid health, dental, life and disability insurance (for ...

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Insurance Data Analytics information

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.

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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 most commonly searched types of Insurance Data Analytics jobs in Wisconsin? The most popular types of Insurance Data Analytics jobs in Wisconsin 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:
Infographic showing various Insurance Data Analytics job openings in Wisconsin as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Data Analytics - Operations

US Bank

Milwaukee, WI • Hybrid

$84K - $106K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job DescriptionYour journey starts now

📊 Turn Data Into Decisions. Influence Strategy. Drive Business Impact.

Are you the person others turn to when they need answers hidden in the data? Do you enjoy uncovering trends, solving complex business challenges, and translating numbers into meaningful stories?

Join Data Intelligence within WCIB Operations and become part of a high-impact team that helps shape strategic decisions across Operations. This isn't just reporting-it's an opportunity to influence how the business operates, identify opportunities for improvement, and partner directly with leaders who rely on data to guide critical decisions.

As a Data Analyst, you'll work with powerful tools like SQL, Alteryx, and DOMO to transform complex data into actionable insights that improve operational performance and drive business results. You'll collaborate with stakeholders, build innovative reporting solutions, and present recommendations that directly affect strategy and outcomes.

Why This Opportunity Stands Out

High visibility with business leaders and decision-makers
Opportunity to solve meaningful business challenges through analytics
Exposure to enterprise-scale data, reporting, and strategy initiatives
Collaborative team environment where your insights influence action
Ability to develop expertise across data visualization, automation, and cloud technologies

What You'll Be Doing

  • Analyze complex data sets and uncover insights that drive business decisions

  • Design and develop dashboards, reporting solutions, and analytics tools using SQL, DOMO, and Alteryx

  • Partner with business leaders to understand challenges and deliver data-driven solutions

  • Present findings and recommendations to stakeholders at all levels, including senior leadership

  • Manage multiple analytics initiatives while balancing priorities and deadlines

  • Ensure data quality, integrity, and adherence to governance standards

  • Continuously improve reporting processes and identify opportunities for automation

Location & Schedule

  • 📍 Milwaukee, WI | St. Paul, MN | Cincinnati, OH

  • 🏢 Hybrid schedule with 3+ days onsite per week

  • 🕗 Monday-Friday | 8:00 AM-5:00 PM

This role is not eligible for visa sponsorship. Candidates must be U.S. Citizens and not hold any type of Visa.

Basic Qualifications

  • Bachelor's degree in a related field, or equivalent work experience

  • Three to four years of statistical and/or data analytics experience

Preferred Skills & Experience

  • Hands-on experience with Alteryx, DOMO, SQL, and Excel.

  • Knowledge of AWS, Azure, Snowflake, or Google Cloud.

  • Strong analytical, problem-solving, and communication skills.

  • Experience presenting data-driven insights to stakeholders.

  • Ability to manage multiple priorities and meet deadlines.

  • Experience delivering end-to-end analytics and reporting solutions.

Location Expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $75,820.00 - $89,200.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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