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Remote Insurance Data Analytics Jobs in Winder, GA

AR FollowUp

Atlanta, GA ยท Remote

$21/hr

Actively manage claims and accounts while ensuring insurance data accuracy The Hospital Billing ... remote or hybrid team through scheduled meetings and office hours.

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Director, Provider Operations

Atlanta, GA ยท Remote

$147K - $193K/yr

This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully ... insurance, data analysis and/or consulting * 5+ years of experience building, coaching and ...

AI Consulting Expert - Remote

Atlanta, GA ยท Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Showing results 41-60

Remote Insurance Data Analytics information

See Winder, GA salary details

$21

$48

$83

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

As of Aug 23, 2026, the average hourly pay for remote insurance data analytics in Winder, GA is $48.30, according to ZipRecruiter salary data. Most workers in this role earn between $38.80 and $54.71 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 popular job titles related to Remote Insurance Data Analytics jobs in Winder, GA?

For Remote Insurance Data Analytics jobs in Winder, GA, the most frequently searched job titles are:

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

The top searched job categories for Remote Insurance Data Analytics jobs in Winder, GA are:

What cities near Winder, GA are hiring for Remote Insurance Data Analytics jobs?

Cities near Winder, GA with the most Remote Insurance Data Analytics job openings:

Employee Listening & Survey Analytics Contractor as 100% Remote

Amicis Global

Peachtree Corners, GA โ€ข Remote

$61/hr

Contractor

Posted yesterday

New


Job description

Title: Employee Listening & Survey Analytics Contractor
Location: Remote
Duration: 05 Months
 
Pay Rate: $50.00 - $60.00/- on W2
 
Part Time (30Hours a week)
 
 
Kindly share your most updated resume.
 
 
Roles and Responsibilities:

Primary Function of Position The People Analytics & Research team partners with HR and business leaders to deliver data-driven insights that inform talent and organizational decisions.

We are seeking a part-time contractor (up to 30 hours per week) to support our employee listening and survey analytics programs.

This role will primarily support survey analysis, reporting, dashboard development, and research activities across employee experience initiatives.
Analyze employee survey and workforce datasets to identify trends, key drivers, and actionable insights.
Conduct statistical analyses, benchmarking, and employee listening research.
Support analysis of open-ended survey comments using qualitative and AI-assisted methods.
Create dashboards, reports, visualizations, and executive-ready presentations.
Translate analytical findings into clear business implications and recommendations using a storytelling mindset.
Support survey design, measurement development, and employee listening projects.
Identify opportunities to improve reporting processes, data quality, and analytical methodologies.
Required Skills and Experience
Experience analyzing survey data and working with large datasets.
Advanced Excel skills.
Experience with Qualtrics or similar survey platforms.
Experience with Tableau or other data visualization tools.
Experience with R, Python, SQL, or other statistical software.
Strong written communication skills and ability to present findings to non-technical audiences.
Strong attention to detail, with the ability to validate data and quality-check analyses and outputs
Ability to work independently while collaborating effectively with a team, and maintain confidentiality when handling employee data.
Experience supporting employee engagement, employee experience, or employee listening programs.
Experience conducting advanced survey analyses (e.g., driver analysis, significance testing, text analytics).
Required Education and Training
Master's degree in Industrial-Organizational Psychology, Organizational Psychology, Statistics, Data Analytics, Human Resources, or a related field.
Working Conditions
Part-time contractor role (up to 30 hours per week).
Flexible schedule with availability to support critical reporting timelines.

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