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Insurance Data Analyst Jobs in Kansas (NOW HIRING)

Keylent Inc

Data Analyst

Lenexa, KS · On-site

Data Analyst with Guidewire and P&C Insurance Locations: Boston, MA; Charlotte, NC; Colorado Springs, CO; Conshohocken, PA; Dallas, TX; Fargo, ND; Florham Park, NJ; Garden City, NY; Houston, TX; ...

Chubb

Data Analyst

Overland Park, KS · On-site

Data Analyst As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be ... Legal Employer ACE American Insurance Company * Posting Date 02/27/2026, 04:57 PM

Chubb

Data Analyst

Overland Park, KS · On-site

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a ... management, insurance, or related industries preferred About Us Chubb is a world leader in ...

Chubb

Data Analyst

Overland Park, KS · On-site

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a ... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ...

Huyett

Senior Data Analyst

Minneapolis, KS · On-site

$72K - $96K/yr

Sr. Data Analyst Compensation: Starting salary of $72,000 to $96,000 plus gainsharing bonuses ... Full benefits, including free health insurance option for non-tobacco users * Generous paid-time ...

Colgate-Palmolive

E2E Data Analyst

Overland Park, KS · On-site

$76.80K - $107.50K/yr

As a Customer Service & Logistcs E2E Data Analyst you will be responsible for managing data sets ... life insurance, paid parental leave, disability coverage, and participation in the 401(k) ...

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Insurance Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do insurance data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for insurance data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

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.

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.

What are popular job titles related to Insurance Data Analyst jobs in Kansas? For Insurance Data Analyst jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Kansas look for? The top searched job categories for Insurance Data Analyst jobs in Kansas are:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Kansas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 56% In-person, 33% Hybrid, and 11% Remote job distribution, with an average salary of $73,702 per year, or $35.4 per hour.
Data Analyst

Data Analyst

Keylent Inc

Lenexa, KS • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Analyst

Role: Data Analyst with Guidewire and P&C Insurance Locations: Boston, MA; Charlotte, NC; Colorado Springs, CO; Conshohocken, PA; Dallas, TX; Fargo, ND; Florham Park, NJ; Garden City, NY; Houston, TX; Jacksonville, IL; Lenexa, KS; Los Angeles, CA; Lubbock, TX; Mt Juliet, TN; New York, NY; Purchase, NY Full Time

Role Summary

The Data Analyst is a hands-on position with a focus on defining the data needs for the enterprise data warehouse. The position will work within IT to help Sompo International create an industry-leading data warehouse architecture. Furthermore, this data warehouse architecture will measure performance in all aspects of the organization's operations.

Role Responsibilities
  • Work with business stakeholders and IT teams to analyze and resolve data issues for the enterprise data warehouse.
  • Create source (OLTP applications) to target (DWH) mapping documents to capture additional application data elements.
  • Load the source-to-target mapping documents from source systems into the enterprise data warehouse.
  • Collaborate with the ETL team to ensure the source-to-target mapping documents are in correct ETL code.
  • Ensure the ETL code align with STM requirements.
  • Perform data validation, to insure correct data movement into the enterprise data warehouse architecture.
  • Consult with reporting teams to develop a general understanding for the data warehouse model / optimal ways to use it.
Technical Qualifications
  • Proven 5+ years' experience of data analysis – extraction of OLTP data within an enterprise data warehouse.
  • Possess 5+ years of Policy & Claims Insurance subject-matter expertise.
  • Candidate has advanced level SQL knowledge.
  • Possess optimal knowledge for concepts and frameworks for Data Warehousing, ETL, and BI Architectures.
  • Candidate is capable of creating and tuning Semantic layer Reporting Views.
  • Able to facilitate data discovery sessions, which will include an audience of business subject-matter experts.
  • Proven knowledge of RDBMS platforms (e.g., SQL Server, DB2), with experience in generating DDL.
  • Possess knowledge of Guidewire Policy Center, Guidewire Claims Center, SAP FS-RI & SAP FS-CD applications with their data is considered a plus.
General Qualifications
  • Candidate has strong interpersonal skills, including both written and verbal communication skills.
  • Possess the ability to work as part of a team.
  • Candidate has strong organizational skills and analysis skills.
Keylent logo

About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

Social media

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