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Insurance Business Intelligence Jobs in Raleigh, NC

SkyePoint Decisions

Cyber Threat Intelligence

Raleigh, NC · Remote

$100K - $120K/yr

... and business considerations. In addition to a competitive salary, SkyePoint offers benefits ... Several insurance options including HMO and High Deductible plans with Health Savings Accounts ...

Promachbuilt

Business Analyst

Raleigh, NC · On-site +1

Support deployment of Artificial Intelligence (AI) and automation including identifying ... life insurance, disability insurance, paid time off programs, a retirement savings plan with a ...

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All JobsInsurance Business Intelligence JobsInsurance Business Intelligence Jobs in Raleigh, NC

Insurance Business Intelligence information

See Raleigh, NC salary details

$28.7K

$111.1K

$162.8K

How much do insurance business intelligence jobs pay per year?

As of Jun 22, 2026, the average yearly pay for insurance business intelligence in Raleigh, NC is $111,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Insurance Business Intelligence vs Insurance Data Analyst?

AspectInsurance Business IntelligenceInsurance Data Analyst
Required CredentialsBachelor's in Data Science, Business Analytics, or related fields; often certifications in BI toolsBachelor's in Statistics, Data Analysis, or related fields; similar certifications may apply
Work EnvironmentTypically in corporate offices, focusing on BI tools and dashboardsOften in analytics teams, working with data sets and reporting tools
Employer & Industry UsageUsed across insurance companies for strategic insights and reportingUsed for analyzing insurance data, claims, and underwriting trends

Insurance Business Intelligence professionals focus on developing dashboards, reports, and strategic insights using BI tools, while Insurance Data Analysts analyze raw data to identify trends and support decision-making. Both roles require similar skills and certifications but differ in their primary focus and tools used.

How does an Insurance Business Intelligence professional typically collaborate with underwriters, claims analysts, and other departments within an insurance company?

Insurance Business Intelligence professionals regularly work cross-functionally with teams such as underwriting, claims, and actuarial departments. They gather requirements, analyze data trends, and present actionable insights that support risk assessment, pricing strategies, and claims optimization. Effective communication is key, as BI professionals must translate complex data findings into clear recommendations for non-technical stakeholders. This collaboration helps ensure that data-driven decisions are integrated into core business processes, driving both operational efficiency and improved customer outcomes.

What are the key skills and qualifications needed to thrive as an Insurance Business Intelligence professional, and why are they important?

To thrive as an Insurance Business Intelligence professional, you need strong analytical skills, industry knowledge, and a background in statistics or data analysis, often supported by a relevant degree. Familiarity with BI tools such as Tableau, Power BI, SQL databases, and knowledge of insurance-specific software or certifications like CPCU are typically required. Excellent problem-solving, communication, and collaboration skills help you translate complex data into actionable insights for stakeholders. These competencies are crucial for driving data-driven decision-making and optimizing business performance in the competitive insurance sector.

What is Insurance Business Intelligence?

Insurance Business Intelligence (BI) refers to the use of technology, data analysis, and reporting tools to help insurance companies make informed business decisions. BI professionals in the insurance sector gather and analyze large volumes of data related to policies, claims, customer behavior, and market trends. Their insights help organizations optimize processes, identify risks, improve customer service, and drive profitability. By leveraging BI, insurance firms can gain a competitive edge and adapt quickly to changing market conditions.
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