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Remote Insurance Data Analytics Jobs in Naugatuck, CT

LT Apparel Group

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on ... LT Apparel Group About the Role LT Apparel Group is hiring a remote Data Analyst to support our ...

pitneybowes

RevOps Analytics Manager

Shelton, CT · On-site +1

$100K - $120K/yr

Ensure data accuracy and consistency across systems, sources, and reports. * Build, optimize, and ... Can be either fully remote (anywhere in U.S.) or hybrid model, depending on proximity to Shelton ...

Linde

Data Scientist

Danbury, CT · Remote

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including ... Remote work permitted from any location in theU.S.

Linde Group

Data Scientist

Danbury, CT · Remote

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including ... Remote work permitted from any location in theU.S.

BMG360

Media Analyst

Shelton, CT · On-site +1

$65K/yr

Hybrid Remote Role** BMG360 is looking for a talented, critical thinker, with a passion for ... Bachelor's degree (Finance, Data Analytics, Mathematics, Statistics (or other quantitative focus ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Naugatuck, CT

Remote Insurance Data Analytics information

See Naugatuck, CT salary details

$24

$55

$95

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

As of Aug 29, 2026, the average hourly pay for remote insurance data analytics in Naugatuck, CT is $55.61, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $62.98 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 Naugatuck, CT look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Naugatuck, CT are:

What cities near Naugatuck, CT are hiring for Remote Insurance Data Analytics jobs?

Cities near Naugatuck, CT with the most Remote Insurance Data Analytics job openings:

Remote Insurance Data Analytics jobs near you

Data Analyst

LT Apparel Group

Milford, CT • Remote

$22 - $28/hr

Part-time

Posted 4 days ago

Job description

Location: Remote (U.S. Based Preferred)
Job Type: Part-Time (Flexible Hours)
Pay: $22–$28 per hour (based on experience)
Company: LT Apparel Group

About the Role
LT Apparel Group is hiring a remote Data Analyst to support our growing data and reporting needs. You’ll manage and maintain master data, develop meaningful reports, and help ensure data accuracy across the company. If you're detail-oriented, proactive, and love turning numbers into insights, we want to hear from you.

What You’ll Do
Maintain and manage master data (create, update, delete)
Ensure high-quality data imports and provide QA support
Build and design reports and dashboards
Manage user access, roles, and metadata
Support data warehouse and reporting system enhancements
Troubleshoot data issues and reporting errors
Provide insight for business decisions through clean, reliable data
Collaborate with teams on new system implementations and upgrades

What We’re Looking For
Previous experience in a data analyst role (or similar)
Strong skills in Excel, SQL, and reporting tools (Power BI, Tableau, etc.)
A sharp eye for detail and accuracy
Excellent organizational and communication skills
Ability to work independently and meet deadlines in a remote environment

Compensation:
Part-time role starting at $22–$28/hr, depending on experience.
Ready to join our data-driven team? Apply today and help us turn data into results.

Apply