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Remote Insurance Data Analytics Jobs in Raleigh, NC

Contemporaries

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics ... medical insurance, paid time off (PTO), 401k company match, paid parental leave, education ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics ... medical insurance, paid time off (PTO), 401k company match, paid parental leave, education ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics ... medical insurance, paid time off (PTO), 401k company match, paid parental leave, education ...

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All JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Raleigh, NC

Remote Insurance Data Analytics information

See Raleigh, NC salary details

$23

$53

$91

How much do remote insurance data analytics jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote insurance data analytics in Raleigh, NC is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are the most commonly searched types of Insurance Data Analytics jobs in Raleigh, NC? The most popular types of Insurance Data Analytics jobs in Raleigh, NC are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Raleigh, NC? For Remote Insurance Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Remote Insurance Data Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Insurance Data Analytics jobs? Cities near Raleigh, NC with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Raleigh, NC as of June 2026, with employment types broken down into 79% Full Time, 8% Part Time, and 13% Contract. Highlights an 3% In-person, and 97% Remote job distribution, with an average salary of $110,694 per year, or $53.2 per hour.
Data Scientist

Data Scientist

Contemporaries

Durham, NC • Remote

$51 - $58/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Contemporaries Inc. is a government contracting firm supporting the National Institutes of Health in their efforts to hire a Data Scientist to support environmental health and extreme weather research initiatives. This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public health and scientific research efforts.

 

Position Responsibilities

  • Support the continued development and optimization of the Amadeus software package within the open-source R programming environment
  • Improve computational performance, reduce package dependencies, and enhance runtime efficiency of the Amadeus code base
  • Develop new geospatial environmental datasets proposed by the health and extreme weather (HEW) research community and leadership team
  • Work within established coding and development style guidelines for the Amadeus R-package
  • Create and revise tutorials related to:
    • data downloads,
    • covariate calculations,
    • statistical model development,
    • and data visualization
  • Utilize the Amadeus R-package to support data sourcing and environmental research workflows
  • Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting
  • Assist with peer-reviewed manuscript development, including data analysis, technical writing, editing, and interpretation of findings
  • Provide scientific guidance, analytical support, and interpretation of results to the research team
  • Collaborate with researchers, analysts, and leadership teams supporting environmental and public health initiatives

 

Minimum Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental Science, Public Health, or a related field
  • Minimum of 3 years of professional experience in data science, statistical programming, or computational research support
  • Strong experience using the R programming language
  • Experience working with large-scale geospatial or environmental datasets
  • Experience developing dashboards or interactive visualizations using R Shiny
  • Experience with shell scripting such as Bash
  • Familiarity with batch job scripting or high-performance computing environments such as SLURM
  • Strong analytical, technical writing, and problem-solving skills
  • Ability to work independently while supporting collaborative scientific research efforts

 

Preferred Qualifications

  • Experience supporting public health, environmental health, climate, or biomedical research projects
  • Experience contributing to open-source software or research-focused R packages
  • Experience assisting with manuscript preparation or peer-reviewed publications
  • Familiarity with geospatial analysis and statistical modeling techniques

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.