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Remote Insurance Data Analytics Jobs in Barre, VT

Maintain data integrity in Salesforce and Marketo * Perform in-depth analysis measuring marketing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ... results, perform data analysis, and document in formal reports including conclusions and ...

Represent Partner Program Operations with GPP Program Design, Partner Sales, Data and Systems ... Program Rigor: Strong analytical and program-management discipline -- able to run a multi ...

New

Manager, Partner Program Operations

Montpelier, VT ยท On-site +1

$210K - $284K/yr

Represent Partner Program Operations with GPP Program Design, Partner Sales, Data and Systems ... Strong analytical and program-management discipline - able to run a multi-workstream operating ...

New

Showing results 21-40

Remote Insurance Data Analytics information

See Barre, VT salary details

$24

$53

$92

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

As of Sep 7, 2026, the average hourly pay for remote insurance data analytics in Barre, VT is $53.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $60.91 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 are the most commonly searched types of Insurance Data Analytics jobs in Barre, VT?

The most popular types of Insurance Data Analytics jobs in Barre, VT are:

What job categories do people searching Remote Insurance Data Analytics jobs in Barre, VT look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Barre, VT are:

Virtual Sales (with training)

Fisher Organization

Montpelier, VT โ€ข Remote

Full-time

Re-posted 11 days ago


Job description

Fisher Organization is the New England division of American Income Life, committed to protecting members of Labor and Credit Unions and various Associations of New England as well as working families throughout the region. Our goal is to become the premier in-home supplemental insurance company in all of New England while promoting a positive company culture.

Role Description

This is a full-time remote Entry Level Management role for Globe Life American Income Division: Fisher Organization. The Manager will be responsible for day-to-day tasks such as team management, sales and marketing, and business development. This role requires working with cross-functional teams, analyzing performance data, sharing insights, and coordinating with other divisional office stakeholders.

  • Strong leadership and interpersonal skills

  • Excellent communication, both written and verbal

  • Ability to analyze performance data and make informed decisions

  • Experience with sales and marketing is a plus

  • Ability to develop and manage a team

  • Strong problem-solving and critical thinking skills