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Insurance Data Analyst Jobs in Kansas (NOW HIRING)

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 ...

Lockton, Inc.

Data Analyst

Overland Park, KS · On-site

... data analysis in the insurance industry or related field • At least 3 years of experience in working with project teams in an information technology environment • Proficiency with Microsoft SQL ...

MRINetwork Jobs

Insurer Data Manager

Independence, KS · On-site

The ability to translate business needs into practical data solutions If you've been looking for a role that combines insurance expertise, analytics, and process improvement, additional details are ...

MRINetwork Jobs

Insurer Data Manager

Independence, KS · On-site

The ability to translate business needs into practical data solutions If you've been looking for a role that combines insurance expertise, analytics, and process improvement, additional details are ...

Maximus

Data Coordination Analyst

Kansas City, KS · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Wichita, KS · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Topeka, KS · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Overland Park, KS · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Pittsburg, KS · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

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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 8, 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

Reporting Data Analyst (Hybrid)

Siritech Solutions Corp

Topeka, KS • Hybrid

Full-time

Re-posted 6 days ago

Job description

Total Required Experience in Years:Minimum 13+ Years Overall, 10+ Years EDW/DWH, 7+ Years P&C Insurance, 5+ Years BI/Reporting Tools
Visa: H1/GC/ USC
Mode of Work: Hybrid (3 Days Onsite)
Job Description:Seeking an experienced Reporting Data Analyst to support enterprise reporting, data warehousing, analytics, and insurance data initiatives within a Property & Casualty (P&C) insurance environment. The ideal candidate should possess deep expertise in enterprise data warehousing, reporting, Workers Compensation, insurance data interpretation, Guidewire systems, SQL, dimensional modeling, and reporting architecture. This role requires acting as a Subject Matter Expert (SME) for enterprise insurance data, translating complex business processes into reporting structures, ensuring accurate data lineage, validating enterprise reporting outputs, and supporting analytics initiatives aligned with business objectives and regulatory requirements. The candidate will collaborate with business leaders, technical teams, and stakeholders to ensure reliable reporting, accurate warehouse data interpretation, and strong enterprise data governance practices.


Key Responsibilities:

  • Act as a Data and Domain SME across Property & Casualty insurance subject areas including policy, claims, billing, and financial systems
  • Demonstrate expertise in Commercial Lines including Workers Compensation, General Liability, Commercial Auto, Property, and Umbrella/Excess insurance domains
  • Collaborate with business stakeholders to gather, analyze, validate, and document reporting requirements and data extract needs
  • Translate insurance business processes into dimensional models, KPIs, business metrics, and enterprise reporting structures
  • Leverage Guidewire platforms including PolicyCenter, ClaimCenter, BillingCenter, Genius, and SAP to interpret enterprise data and establish lineage
  • Map policy lifecycle activities including submission, quote, bind, issue, endorsements, renewals, cancellations, and reinstatements into EDW structures
  • Analyze claims lifecycle data including reserves, recoveries, payments, and financial reporting metrics
  • Perform source-to-target mapping, data lineage analysis, transformation validation, and reconciliation across ETL and EDW environments
  • Develop, validate, and optimize complex SQL queries, reporting datasets, and views across enterprise warehouse environments
  • Ensure consistency, reconciliation, and accuracy between source systems and enterprise warehouse reporting layers
  • Review, certify, and validate reports for business accuracy, completeness, and compliance requirements
  • Investigate and resolve data discrepancies across source systems, ETL pipelines, reporting environments, and warehouse layers
  • Document business rules, metadata, data lineage, mappings, and reporting definitions
  • Support User Acceptance Testing (UAT), defect analysis, reporting enhancements, and production reporting support
  • Educate stakeholders on reporting interpretation, governance standards, and enterprise data usage best practices


Additional Responsibilities:

  • Support enterprise reporting governance, insurance analytics, and business intelligence initiatives
  • Collaborate with senior business leaders and cross-functional technical teams on strategic reporting efforts
  • Provide SME-level guidance on insurance data interpretation and enterprise reporting architecture
  • Facilitate stakeholder discussions and explain complex data concepts to technical and non-technical audiences
  • Support continuous improvement efforts for reporting quality, data governance, and warehouse optimization


Required Skills:

  • Minimum 13+ years of experience as a hands-on Reporting/Data Analyst in enterprise environments
  • Minimum 10+ years of experience working with Enterprise Data Warehousing (EDW/DWH) solutions
  • Minimum 7+ years of Property & Casualty (P&C) Insurance experience, preferably Commercial Lines
  • Strong domain expertise in Workers Compensation and claims analytics
  • Minimum 5+ years of experience with BI and reporting tools such as Power BI and MicroStrategy
  • Hands-on experience with Guidewire (PolicyCenter, ClaimCenter, BillingCenter), Genius, and SAP
  • Advanced SQL experience working with large-scale enterprise data warehouses
  • Strong understanding of data lineage, traceability, dimensional modeling, source-to-target mapping, and reporting architecture
  • Proven experience reconciling data between enterprise transactional systems and warehouse environments
  • Strong stakeholder communication, documentation, analytical, and problem-solving skills


Qualifications:

  • Strong experience working in enterprise insurance, data warehousing, and reporting environments required
  • Recognized SME-level expertise in Insurance Data and Data Warehousing preferred
  • Ability to work independently in complex and ambiguous environments required
  • Canada Citizen or Permanent Resident required


Education:

  • Bachelors degree in Computer Science, MIS, or related field (or equivalent experience) required


Certifications:

  • Power BI certification preferred
  • Data Warehousing or Business Intelligence certification preferred