1

Associate In Insurance Data Analytics Jobs in North Carolina

Senior Data Analyst

Charlotte, NC ยท On-site

$84K - $106K/yr

Role - Senior Data Analyst Location - Charlotte, NC SUMMARY Demonstrated strong domain expertise in Property & Casualty (P&C) Insurance, with hands-on experience in interpreting ACORD policy formats ...

Director, Data Analytics

Concord, NC ยท On-site

$140K - $185K/yr

This role involves analyzing operational data, generating insightful reports, and providing ... This role is eligible for health insurance, life insurance, retirement benefits, participation in ...

Data Analytics Analyst II

Durham, NC ยท Remote

$56K - $140K/yr

IQVIA possesses the largest and most comprehensive set of healthcare data assets in the world ... analytics needs of the clients for both scheduled and ad hoc requests * Creating reports ...

... Data & Analytics Senior Manager, you will play a critical leadership role within Investment ... More than 9,000 associates in 30+ offices around the world help our clients and each other grow and ...

Barclays Bank Delaware seeks Data Analytics Lead, AVP in Wilmington, DE (multiple positions available): * Develop analytical strategy to achieve acquisitions marketing goals through the development ...

AI & Data Analytics Architect

Charlotte, NC

$62.25 - $80/hr

Demonstrated expertise in Azure data and analytics services. * Demonstrated experience with data security and privacy protection measures. * Proactively stay informed on new technologies and ...

AI & Data Analytics Architect

Charlotte, NC ยท On-site

$62.25 - $80/hr

Demonstrated expertise in Azure data and analytics services. * Demonstrated experience with data security and privacy protection measures. * Proactively stay informed on new technologies and ...

next page

Showing results 1-20

Associate In Insurance Data Analytics information

What are some common challenges faced by an associate in insurance data analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are the key skills and qualifications needed to thrive as an associate in insurance data analytics?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What is an associate in insurance data analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.
What are popular job titles related to Associate In Insurance Data Analytics jobs in North Carolina? For Associate In Insurance Data Analytics jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in North Carolina look for? The top searched job categories for Associate In Insurance Data Analytics jobs in North Carolina are:
What cities in North Carolina are hiring for Associate In Insurance Data Analytics jobs? Cities in North Carolina with the most Associate In Insurance Data Analytics job openings:
Infographic showing various Associate In Insurance Data Analytics job openings in North Carolina as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Senior Data Analyst

Hiring Dreams LLC

Charlotte, NC โ€ข On-site

$84K - $106K/yr

Other

Posted 19 days ago


Job description

Role - Senior Data Analyst 
Location - Charlotte, NC 
 
 
SUMMARY
 
Demonstrated strong domain expertise in Property & Casualty (P&C) Insurance, with hands-on experience in interpreting ACORD policy formats, Broker Submission documents, and Statements of Values (SOVs).
Led data sourcing, mapping, analysis, and remediation efforts as part of legacy system migration to Guidewire PolicyCenter, ensuring high data quality and alignment with business rules.
Applied deep understanding of insurance data models and policy structures to support accurate data transformation and reconciliation across systems.
Conducted awareness and training sessions on Generative AI tools and methodologies, enabling business and technical teams to explore AI-driven efficiencies in document processing and workflow automation.
Collaborated with cross-functional teams to ensure seamless integration of insurance data standards and formats, enhancing operational accuracy and compliance.
Maintained comprehensive documentation of data mappings, transformation logic, and business rules, aligned with industry standards and regulatory requirements.