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Insurance Data Analyst Jobs in Kansas (NOW HIRING)

Ascension

Data Clinical Analyst

Wichita, KS · On-site

Collect and analyze clinical data from diverse sources to establish a solid foundation for vital ... Benefits Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Starr Insurance Companies

... insurance departments. Extract data from various systems, manipulate in Excel as necessary, and ... data analysis skills Advanced Excel skills. Strong documentation skills Commercial Insurance ...

Steadily

Insurance Product Analyst

Overland Park, KS · On-site

... data for all products, books and channels. * Manage rate filings in the states to ensure we are ... insurance product function at Steadily. * Competitive analysis / SERFF ninja Ideal Background

Steadily

Insurance Product Analyst

Overland Park, KS · On-site

... data for all products, books and channels. * Manage rate filings in the states to ensure we are ... insurance product function at Steadily. * Competitive analysis / SERFF ninja Ideal Background

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Analytics JOB TITLE : Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE ... Medical, Dental and Vision insurance. * Flexible Spending Account- Health & Dependent Care ...

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All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Kansas

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 Jul 14, 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.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office environment.

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.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

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 does a data analyst do in insurance?

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

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career path.
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
Senior Data Engineer

Senior Data Engineer

Intrepid Direct Insurance

Overland Park, KS • On-site

$104K - $142K/yr

Full-time

Posted 18 days ago

Job description

Job Summary:
Intrepid Direct Insurance is a rapidly growing direct to consumer property and casualty insurance company. They are seeking a Senior Data Engineer to mentor and implement data solutions that enhance the availability and quality of data for their business units and customers.
Responsibilities:
• Assist with long-term strategic planning for modern data warehousing needs.
• Contribute to data modeling exercises and the buildout of our data warehouse.
• Monitor, support, and analyze existing pipelines and recommend performance and process improvements to address gaps in existing process.
• Automate manual processes owned by data team.
• Troubleshoot and remediate ingestion and reporting related issues.
• Design and build new pipelines to ingest data from additional disparate sources.
• Responsible for the accuracy and availability of data in our data warehouse.
• Collaborate with a multi-disciplinary team to develop data-driven solutions that align with our business and technical needs.
• Create and deploy reports as needed.
• Assist with cataloging and classifying existing data sets.
• Participate in peer reviews with emphasis on continuous improvement.
• Respond to regulatory requests for information.
• Assumes other tasks and duties as assigned by management.
• Mentor team members and advise on best practices.
Qualifications:
Required:
• Bachelor’s degree in Mathematics, Statistics, Computer Science, or equivalent experience.
• 6+ years of relevant data engineering experience.
• Analytical thinker with experience working in a fast-paced, startup environment.
• Technical expertise with Microsoft SQL Server.
• Familiarity with ETL tools and concepts.
• Hands-on experience with database design and data modeling, preferable experience with Data Vault methodology.
• Experience supporting and troubleshooting SSIS packages.
• Experience consuming event-based data through APIs or queues.
• Experience in Agile software development.
• Detail oriented, solid organizational, and problem-solving.
• Strong written, visual, and verbal communication skills.
• Team oriented with a strong willingness to serve others in an agile startup environment.
• Flexible in assuming new responsibilities as they arise.
Preferred:
• Experience with insurance data highly desired.
• Experience with Power Bi desired.
Company:
Intrepid Direct Insurance is a leading direct property and casualty provider for franchise businesses. Founded in 2016, the company is headquartered in Overland Park, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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