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Insurance Business Intelligence Jobs in Raleigh, NC

... business intelligence solutions used within regulated GxP environments. This role partners with ... Insurance with low employee cost • Employer paid long term and short-term disability • 401k ...

... business intelligence solutions used within regulated GxP environments. This role partners with ... Medical, Dental and Vision Insurance with low employee cost * Employer paid long term and short ...

Sr. Software Engineer

Morrisville, NC · On-site

$114K - $151K/yr

Ability to derive actionable business intelligence from structured and unstructured logs, events ... This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off ...

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Showing results 1-20

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 Sep 13, 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 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.

What are the key skills and qualifications needed to thrive as an insurance business intelligence professional?

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.

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 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.

Is insurance business intelligence a high paying job?

Insurance Business Intelligence roles are generally considered well-paying within the insurance industry, especially for professionals with strong analytical skills, experience with data tools, and industry knowledge. Salaries can vary based on experience, location, and company size but tend to be above average compared to other business analyst positions.

What cities near Raleigh, NC are hiring for Insurance Business Intelligence jobs?

Cities near Raleigh, NC with the most Insurance Business Intelligence job openings:

Manager, Workforce Intelligence & AI Products

Morrisville, NC • On-site

NetApp, Inc.
IT Services • 10K+ employees

$170K - $205K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Job Summary
NetApp is transforming Workforce Analytics from a dashboarding function into an AI-powered Workforce Intelligence capability. At NetApp, we are working towards building the next generation of People Analytics products that make workforce data more accessible, more intelligent, and more trustworthy. The Manager, Workforce Intelligence & AI Products will lead the strategy, development, governance, and adoption of AI-enabled workforce intelligence solutions, including conversational analytics, AI Skills, AI Agents, and self-service insights. This leader will build and develop a team while creating scalable products that help leaders make faster, more informed workforce decisions. Working at the intersection of People Analytics, AI, Product Management, Data Engineering, and Governance, this role will play a key part in advancing NetApp's People Analytics strategy and enabling trusted, AI-powered workforce intelligence.
Key Responsibilities
Product Strategy & Workforce Intelligence
• Define and execute the roadmap for Workforce Intelligence and AI-powered People Analytics products.
• Design scalable workforce intelligence solutions that support HR, leaders, and employees.
• Translate complex workforce questions into intuitive, user-centered experiences.
• Drive adoption, product effectiveness, and measurable business outcomes.
AI Skills, Agents & Conversational Analytics
• Lead development of AI Skills, AI Agents, and conversational analytics capabilities.
• Build AI-powered experiences that enable natural language interaction with workforce data.
• Evaluate emerging AI technologies and identify opportunities to accelerate workforce insights and decision support.
• Ensure AI solutions are trusted, transparent, and aligned with responsible AI principles.
Data Governance, Security & Trust
• Define governance frameworks, access models, and guardrails for workforce intelligence products.
• Partner with HR, IT, Legal, Privacy, and Security teams to ensure workforce data is secure, trusted, and used responsibly.
• Establish role-based access controls, data governance standards, and AI safety practices.
• Balance strong governance with seamless access to insights and self-service analytics.
Data Platform & Analytics Engineering
• Guide development of AI-ready workforce data products and analytics capabilities on Snowflake.
• Partner with HR and IT teams on data modeling, semantic layer design, ETL processes, and analytics architecture.
• Ensure workforce intelligence solutions are scalable, governed, and reusable across the enterprise.
People Leadership & Capability Building
• Lead, coach, and develop a high-performing team focused on Workforce Intelligence and AI products.
• Build organizational capability in AI, analytics engineering, product management, and responsible AI.
• Establish best practices, operating processes, and development pathways for the team.
• Foster a culture of innovation, experimentation, and continuous learning.
Required Qualifications
• Experience leading a team.
• Experience building scalable People Analytics, AI, or digital products.
• Strong understanding of People Analytics, Business Intelligence, Data Engineering, Product Management, or related disciplines.
• Experience with cloud data platforms such as Snowflake, Databricks, or similar technologies.
• Experience with SQL, Power BI, data modeling, and modern analytics architectures.
• Understanding of AI technologies, including Large Language Models (LLMs), AI Agents, Retrieval Augmented Generation (RAG), and conversational AI.
• Experience working across HR, IT, Security, Privacy, and Legal stakeholders.
• Strong communication, change management, and stakeholder influence skills.
Compensation
The target salary range for this position is $170,000-$205,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

What NetApp employees say

Pay

Hours and flexibility

Workplace

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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US