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Insurance Data Analyst Jobs in Kansas (NOW HIRING)

... 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 ...

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 ...

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 ...

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 ...

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

The Senior Data Analyst serves as a trusted analytics partner to business leaders across the ... Experience in healthcare, laboratory services, insurance, or other regulated industries.

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 ...

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 ...

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 ...

The primary responsibility of the Commercial Insurance Analyst is to ensure compliance with the ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

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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 Jul 29, 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.
Infographic showing various Insurance Data Analyst job openings in Kansas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Data Analyst- Insurance Claims

General Electric Company

Overland Park, KS • On-site, Remote

$76K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Job Description SummaryJoin our dynamic Operations and Analytics team where you will be at the forefront of data analysis, visualization, and innovation for our Long-Term Care Insurance business, ERAC (Employers Reassurance Corporation), a corporate holding of GE Aerospace. We are a reinsurance company supporting long-term care insurance, structured settlements, life, and other insurance products.
We are on a multi-year journey to become a more data-driven organization and are seeking a candidate who is passionate about leveraging data to drive positive change. This role will lead efforts to strengthen our analytical and data science capabilities by leveraging expanding healthcare and claims data and translating findings into actionable insights for business decision-makers. The ideal candidate will bring must-have experience in healthcare data, claims, data science, and predictive modeling, along with the ability to work across data sources, external partners, and internal stakeholders to improve reporting, understanding of business drivers, and strategic decision-making.
This role can be hybrid in Overland Park, Kansas, or remote within the U.S.Job Description

Roles and Responsibilities

  • Lead efforts to develop and enhance analytical and data science capabilities across the Long-Term Care Insurance business
  • Leveragehealthcare and claims datato identify trends, generate insights, and support data-driven decision-making
  • Design, build, and applypredictive modelsand other advanced analytical solutions to address key business questions
  • Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data
  • Work within a robust data platform to analyze complex datasets, including exploratory data analysis (EDA) and produce meaningful business insights
  • Collaborate with cross-functional teams and stakeholders to translate analytical findings into actionable recommendations
  • Foster creative, thoughtful, and rigorous analysis to enhance reporting and deepen understanding of key business drivers
  • Support the organization's multi-year journey toward greater analytical maturity and data-driven decision-making
  • Communicate results clearly and effectively to technical and non-technical audiences, including business leaders

Required Qualifications

  • Bachelor's degree from an accredited university or college
  • GE Aerospace will NOT sponsor individuals for employment visas, now or in the future, for this job opening
  • Significant experience indata analytics, business intelligence, data science, or a related analytical field
  • Healthcare data experience is required
  • Experience working withclaims data is required
  • Demonstrated hands-on experience indata science and predictive modeling is required
  • Experience working with large, complex datasets from multiple sources
  • Proven ability to translate analytical results into actionable business insights and recommendations
  • Experience sourcing and working with data from external partners and third-party data providers
  • Strong communication and collaboration skills, with the ability to work effectively across teams and stakeholders
  • Ability to workhybrid in Overland Park, Kansas, or remote within the U.S.

Desired Characteristics

  • Experience inlong-term care insurance, reinsurance, life insurance, structured settlements, or related insurance products
  • Strong understanding of insurance, healthcare, and claims data sets, as well as business drivers that influence them.
  • Experience with advanced analytics techniques beyond traditional reporting and dashboarding
  • Strong data visualization and storytelling skills
  • Demonstrated ability to influence decision-making through data-driven insights
  • Intellectual curiosity and a passion for solving complex business problems
  • Experience helping organizations improve analytical capabilities and data maturity
  • Ability to balance technical depth with practical business application
  • Self-starter who thrives in a collaborative and evolving environment

The base pay range for this position is $76,400.00 - 115,300 USD Annual. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on July 30, 2026.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical,emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to aHealth Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling andreferral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matchingcontributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits includetuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., isa "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time andfor any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. Thisdocument does not create a contract of employment with any individual.

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.


Relocation Assistance Provided: No

#LI-Remote - This is a remote position