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Remote Insurance Data Analytics Jobs in Mount Airy, NC

micro1 AI

Pharmacovigilance Expert

Winston Salem, NC · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Mount Airy, NC

Remote Insurance Data Analytics information

See Mount Airy, NC salary details

$21

$47

$81

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

As of Aug 19, 2026, the average hourly pay for remote insurance data analytics in Mount Airy, NC is $47.19, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $53.46 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

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.

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 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 job categories do people searching Remote Insurance Data Analytics jobs in Mount Airy, NC look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Mount Airy, NC are:

What cities near Mount Airy, NC are hiring for Remote Insurance Data Analytics jobs?

Cities near Mount Airy, 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 Mount Airy, NC as of June 2026, with employment types broken down into 67% Full Time, 25% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,157 per year, or $47.2 per hour.

Remote Opportunity - Take Back Control of Your Time

AO Garcia Agency

Winston Salem, NC • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

If you're driven but stuck in a system that rewards time instead of performance, it's time to rethink things.
This opportunity is for individuals who want to take ownership of their income and growth.
You'll be working with clients who have already shown interest-your job is to guide, educate, and help them move forward.
What Sets This Apart
  • No cold outreach
  • No income ceiling
  • Remote work
  • Clear path to leadership

Who This is For
  • Competitive individuals
  • Self-starters
  • People willing to be coached

Not For
Those looking for guaranteed hourly pay or minimal effort.
*All interviews will be conducted via Zoom video conferencing.
(Global Elite Empire Consultants is a third-party recruiter, not an insurance agency)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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