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Associate In Insurance Data Analytics Jobs in Raleigh, NC

SAS

Vice President of Data Analytics

Cary, NC · On-site

Vice President of Data Analytics- Hybrid | Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into ...

SAS

Vice President of Data Analytics

Cary, NC

Vice President of Data Analytics- Hybrid | Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into ...

NC SECU

Senior Learning Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

Additional 5 years of relevant experience can be considered in lieu of degree. -Data Analytics to create reports and build dashboards to provide ROI and impact metrics to executive teams ...

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC

$79K - $98K/yr

Based in Cary, NC. Position reports directly to the Finance Manager, Coating Resins. Works closely ... BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five ...

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC · On-site

$79K - $98K/yr

Based in Cary, NC. Position reports directly to the Finance Manager, Coating Resins. Works closely ... BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five ...

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC · On-site

$79K - $98K/yr

Based in Cary, NC. Position reports directly to the Finance Manager, Coating Resins. Works closely ... BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

A minimum of 5 years of experience in data analytics, data science, or a related analytical role. * Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

A minimum of 5 years of experience in data analytics, data science, or a related analytical role. * Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

A minimum of 5 years of experience in data analytics, data science, or a related analytical role. * Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.

CVS Health

Lead Python Developer, Data Analytics

Cary, NC · On-site

$67K - $199K/yr

In this exciting new role, the candidate will be accountable for designing, developing new Python ... reporting and analytics using healthcare data (medical, pharmacy, lab) · Create business ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... In this role within our Technology Consulting practice, you will leverage advanced technologies and ...

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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

See Raleigh, NC salary details

$3.2K

$6.1K

$8.7K

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

As of Jun 26, 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.

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.

How much does a data analyst make at World insurance Associates?

A data analyst at World Insurance Associates typically earns between $55,000 and $75,000 annually, depending on experience and location. The role often requires proficiency in data analysis tools like Excel, SQL, or Tableau and may involve working with insurance data 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.

Is AI replacing data analysts?

For an Associate in Insurance Data Analytics, AI tools are increasingly used to automate routine data processing and analysis tasks, enhancing efficiency. However, AI does not replace the need for skilled analysts who interpret insights, make strategic decisions, and ensure data quality, making human expertise essential in the role.

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 interpret data, create reports, and support decision-making processes. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and analytics techniques.

What does a data analyst do at an insurance company?

A data analyst in an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior 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 processes.
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:
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Associate In Insurance Data Analytics jobs near you
Vice President of Data Analytics

Vice President of Data Analytics

SAS

Cary, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Vice President of Data Analytics- Hybrid | Cary, North Carolina
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The Vice President of Data and Analytics is responsible for building and leading the Data and Analytics organization. This includes building and mentoring the team, defining and executing our data strategy, overseeing the design and implementation of data infrastructure, and ensuring the effective utilization of data to drive business insights and decision-making. The Vice President of Data and Analytics will work every day to maximize the value of our data and analytics in our business.
As a Vice President of Data Analytics, you will:
  • Define and execute the enterprise data and analytics strategy and roadmap, aligned to business priorities
  • Establish data governance and standards to ensure trust, quality, security, and a single source of truth
  • Lead the transformation of a disparate data ecosystem into a unified, scalable enterprise capability
  • Oversee the design, implementation, and continuous optimization of data infrastructure and platforms
  • Drive executive alignment and adoption of enterprise data strategy and analytics across the organization
  • Partner with IT and business leaders to maximize the effectiveness and adoption of data tools and platforms
  • Measure and drive the impact of analytics initiatives, ensuring continuous improvement and business value realization
  • Lead and develop high-performing teams across engineering, architecture, governance, and analytics functions
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications
  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics)
  • 10+ years of progressive leadership in data and analytics, including experience owning and delivering enterprise data strategy
  • Proven ability to lead enterprise-scale data and analytics transformation including strategy development and operating model evolution
  • Demonstrated success establishing data governance, improving data quality, and driving adoption of trusted data across the business
  • Strong executive presence with the ability to influence senior leaders and translate data into business impact
  • Experience building and leading global high-performing teams
  • Ability to balance strategic vision with hands-on execution, bridging business and technical priorities
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Preferred Qualifications
  • Experience serving as the senior-most data and analytics leader within a large or complex organization
  • Track record of modernizing multi-platform data environments and simplifying legacy data ecosystems
  • Deep expertise in enterprise data architecture, platforms, and advanced data management practices
  • Experience leading large, globally distributed teams (30+ professionals)
  • Experience developing and executing strategies across both structured and unstructured data
  • Recognized industry presence (e.g., speaking engagements, publications, or thought leadership)

World-class benefits
Highlights include...
  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
    • PPO with low annual deductible and copays.
    • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.

#LI-CC
You are welcome here.
At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
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