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Associate In Insurance Data Analytics Jobs in Raleigh, NC

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

In short, We Enable Possibility. Job Summary Strategic Analytics at Arch is a growing team at the ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

Duke Health

Liability Insurance Manager

Durham, NC

Responsible for data management including statistical trending of losses, analysis of patterns, and ... Associate in Risk Management (ARM), or Certified Property and Casualty Underwriter (CPCU ...

Duke Health

Liability Insurance Manager

Durham, NC · On-site

Responsible for data management including statistical trending of losses, analysis of patterns, and ... Associate in Risk Management (ARM), or Certified Property and Casualty Underwriter (CPCU ...

UL Solutions

Associate Business Data Analyst

Raleigh, NC · On-site

$60K - $75K/yr

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and ... Responsibilities * Assist in defining, developing, and deploying data, analytics and reporting ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Raleigh, NC

Associate In Insurance Data Analytics information

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How much do associate in insurance data analytics jobs pay per month?

As of Jul 16, 2026, the average monthly pay for associate in insurance data analytics in Raleigh, NC is $6,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $5,550.00 and $6,525.00 per month, depending on experience, location, and employer.

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.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

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, and why are they important?

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 are 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 can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Raleigh, NC? For Associate In Insurance Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Raleigh, NC are:
Associate In Insurance Data Analytics jobs near you

Data & Analytics Administrative Coordinator

Carolina CoPacking

Henderson, NC • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Job description

Position Summary:
We are seeking a dynamic and forward-thinking data and analytics administrative coordinator who will bring their administrative expertise to the table and play a vital role in supporting multiple departments by managing critical data, assisting with invoicing and costing, and providing analytical and administrative support to Customer Success, Finance, Food Science & Quality, and Operations teams. This role ensures accuracy of information, timely reporting, and effective cross-functional communication to support efficient manufacturing and exceptional customer service.
To thrive in this role, you must possess the ability to multitask. You will be responsible for collaborating with multiple teams and departments, compiling data and preparing reports, as well as updating and maintaining systems and database platforms. Additionally, a firm grasp of business objectives is crucial for translating them into clear projects and company goals. Excitingly, we are looking for individuals who are highly motivated, team players and share our unwavering passion for organizational success.
Key Responsibilities:
Customer Service Support:
  • Prepare and process customer invoices accurately and in a timely manner.
  • Maintain customer records, pricing files, and order history within company systems.
  • Assist with creation of customer reports, sales summaries, and account performance metrics.
  • Serve as a liaison between Customer Success, Finance, and Operations to resolve billing or order discrepancies.

Financial & Costing Support:
  • Assist Finance with product costing, margin analysis, and data entry.
  • Compile and validate production and material usage data for cost reviews.
  • Maintain spreadsheets and dashboards used for financial and operational decision-making.
  • Support month-end reporting and reconciliation as needed.

Food Science & Quality Support
    • Assist the Food Science and Quality Director with organizing analytical data, product specifications, and testing results.
    • Help maintain documentation related to SQF, GMP, and regulatory compliance.
    • Enter and track quality metrics, laboratory results, and product evaluations.
    • Support preparation of customer documentation, COAs, and technical information.

Operations Support
  • Collect and analyze production data to support efficiency and continuous improvement initiatives.
  • Prepare reports on yields, downtime, labor, and material usage.
  • Assist with scheduling, inventory tracking, and coordination between departments.
  • Maintain accurate filing systems for operational record

Required Skills & Qualifications
  • Associate degree in Business, Accounting, Data Analytics, or related field (or equivalent experience).
  • 2+ years of administrative or data-focused experience in a manufacturing environment preferred.
  • Strong proficiency in Microsoft Excel, ERP/MRP systems, accounting systems, Quick Books, and data reporting tools.
  • High attention to detail with strong analytical and problem-solving skills.
  • Ability to manage multiple priorities and meet deadlines.
  • Excellent written and verbal communication skills.
  • Understanding basic accounting, invoicing, and costing principles.
  • Experience in food manufacturing, SQF, or quality systems a plus.

Core Competencies
  • Data accuracy and integrity
  • Cross-functional collaboration
  • Confidentiality and professionalism
  • Initiative and self-direction
  • Process improvement mindset

Physical Requirements
  • Ability to work in an office and manufacturing environment.
  • Prolonged periods of sitting and computer use.
  • Occasional walking in production areas with required PPE.

Work Environment:
  • Office-based position within a food manufacturing facility
  • Regular interaction with Customer Service, Finance, Production, Procurement, and Quality teams
  • Must adhere to company policies, food safety, and documentation standards.

Benefits
  • Experience a diverse range of comprehensive benefits, including medical, vision, and dental coverage.
  • Take time away from work and recharge with generous paid time off and "dream" days off.
  • Participate in exciting company events that foster camaraderie and team spirit.

Apply