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Remote Insurance Data Analytics Jobs in Pennsylvania

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Remote Insurance Data Analytics information

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.

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 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 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 Pennsylvania? The most popular types of Insurance Data Analytics jobs in Pennsylvania are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Pennsylvania? For Remote Insurance Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Pennsylvania look for? The top searched job categories for Remote Insurance Data Analytics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Insurance Data Analytics jobs? Cities in Pennsylvania 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 Pennsylvania as of May 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.
Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Conshohocken, PA • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

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

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you're looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

In this role, you might:Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital marketsLeverage your education and work experience to check the reasoning and accuracy of an AI Assistant's workPush the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn't.Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master's or PhD (completed or in progress) is strongly preferred.

Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits:This is a full-time or part-time REMOTE positionYou'll be able to choose which projects you want to work onYou can work on your own scheduleProjects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities:Give AI chatbots diverse and complex problems and evaluate their outputsEvaluate the quality produced by AI models for correctness and performance Qualifications:Fluency in English (native or bilingual level)Detail-orientedProficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance managementA current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you.

PayPal will handle any currency conversions from USD. This is an independent contract position.

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