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Insurance Data Analytics Jobs in Minneapolis, MN

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

... insurance and more, to help you and your family take care of your whole selves. Other benefits for ... As a part of the Properties Analytics team, our analysts work closely with business owners as well ...

Adecco is assisting a local client recruiting for a Business Data Analyst position based out of ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

... Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance ... Verify source data to be used truly supports requirements * Assist in analyzing business needs ...

Presents data and analysis in a clear and concise manner allowing the audience to quickly ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Data Analysis - 25% * Monitor data quality metrics, identify issues, and co-ordinate remediation ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

Showing results 41-60

Insurance Data Analytics information

See Minneapolis, MN salary details

$25

$57

$98

How much do insurance data analytics jobs pay per hour?

As of Aug 27, 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:

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.

Sr Data Analyst

Minneapolis, MN • On-site


Target Brands, Inc.
Retail • 10K+ employees

6.6

Company rating: 6.6 out of 10

Based on 7,012 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Recommended by students

Paid breaks

Uninterrupted breaks


$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

The pay range is $88,000.00 - $158,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
Target's distinctive brand love is infused throughout its many physical locations by the Properties teams. We have a direct and positive impact on the real estate, design, construction and maintenance of our stores, distribution centers and headquarters. Are you ready to help strategically grow Target's brand through leading-edge design, development, construction and preservation? Can you effectively balance the efficiencies of a large-design build company with the unique challenges and innovative solutions required by individual sites? Then take your place on one of our Properties teams, and help us make the most of Target's physical assets, both in the U.S. and overseas.
A Sr. Data Analyst role with our Property Analytics team means you will support and advance the data and analytics capabilities related to Target Properties' strategic initiatives to drive returns on capital spend in stores and reduce program expenses. As a part of the Properties Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product managers and engineers. They support all Properties strategic initiatives with data, reporting and analysis. Properties teams rely on this team of analysts to bring data to support decision making.
As a Sr. Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will work within an agile environment which requires active participation in ceremonies and team meetings. In this role, you'll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiative requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leverage in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability is still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs.
About you:
  • BA/BS or equivalent experience
  • 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.
  • Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.)
  • Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation
  • Experience developing metrics, reports, visualizations and/or statistics while documenting code and adhering to data management principles
  • Advanced proficiency in at least 1 visualization tool (i.e. Power BI, Domo, Tableau) with willingness and ability to learn additional visualizations tools
  • Knowledge of AB Testing methods, time series, S&OP planning, forecasting models including statistical analysis

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US


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Pay

Benefits

Hours and flexibility

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