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Insurance Data Analyst Jobs in Raleigh, NC (NOW HIRING)

CGI Inc.

Data Engineer and Modeler

Durham, NC · On-site

You will work closely with engineering, analytics, and product teams to deliver robust, cloud ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

NCSU

Institutional Analyst

Raleigh, NC · On-site

Life Insurance * Accident Plan * Paid Time Off and Other Leave Programs * 12 Holidays Each Year ... Conduct data analysis and produce reports for internal and external constituencies that accurately ...

Align Technology

Analyst II

Raleigh, NC · On-site

Ensure data accuracy and reliability by working with various data sources and validating reports ... Short-term and long-term disability insurance in accordance with those plans. * Basic Life ...

Kimley-Horn

Compensation Analyst

Raleigh, NC

Analyze and review salary data to ensure internal equity and external competitiveness. * Ensure ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kimley-Horn

Compensation Analyst

Raleigh, NC

Analyze and review salary data to ensure internal equity and external competitiveness. * Ensure ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kimley-Horn

Compensation Analyst

Raleigh, NC · On-site

Analyze and review salary data to ensure internal equity and external competitiveness. * Ensure ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kimley-Horn

Compensation Analyst

Raleigh, NC

Analyze and review salary data to ensure internal equity and external competitiveness. * Ensure ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kforce Technology Staffing

Systems Analyst

Durham, NC · On-site

Data Analysis: Interpret data to support decision-making and validate assumptions * Documentation ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

New

MyEyeDr.

Merchandise Planning Analyst

Raleigh, NC · On-site

Analyze data to identify trends, risks, and opportunities across categories and locations ... life insurance and more * Participate in our Vision coverage and associate discounts on our ...

MyEyeDr.

Merchandise Planning Analyst

Raleigh, NC · Hybrid

Analyze data to identify trends, risks, and opportunities across categories and locations ... life insurance and more * Participate in our Vision coverage and associate discounts on our ...

Epic Games

Senior Data Scientist

Cary, NC · On-site

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the ... Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k ...

NCSU

Data Science Librarian

Raleigh, NC · On-site

... creation, data analysis and visualization, and collaboration. Three branch libraries focus on ... Life Insurance * Accident Plan * Paid Time Off and Other Leave Programs * 12 Holidays Each Year

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Showing results 1-20

All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Raleigh, NC

Insurance Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do insurance data analyst jobs pay per year?

As of Jul 9, 2026, the average yearly pay for insurance data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 Raleigh, NC? For Insurance Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Insurance Data Analyst jobs in Raleigh, NC are:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Remote Senior Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Senior Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Smithfield, NC • Remote

$50 - $60/hr

Contractor

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

Job description

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Apply