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Remote Insurance Data Analytics Jobs in Philadelphia, PA

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

PowerPoint Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

We marshal the capital, analytics, and expertise necessary to build strong, healthy, and more ... life insurance, 401(k) savings plan with employer match, flexible spending accounts (medical ...

Word Expert - Remote

Philadelphia, PA ยท Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced Business Document Experts to support an AI training ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

Showing results 41-60

Remote Insurance Data Analytics information

See Philadelphia, PA salary details

$24

$55

$95

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

As of Sep 4, 2026, the average hourly pay for remote insurance data analytics in Philadelphia, PA is $55.24, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $62.60 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 Philadelphia, PA?

The most popular types of Insurance Data Analytics jobs in Philadelphia, PA are:

What are popular job titles related to Remote Insurance Data Analytics jobs in Philadelphia, PA?

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

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

The top searched job categories for Remote Insurance Data Analytics jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Insurance Data Analytics jobs?

Cities near Philadelphia, PA with the most Remote Insurance Data Analytics job openings:

Infographic showing various Remote Insurance Data Analytics job openings in Philadelphia, PA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $114,908 per year, or $55.2 per hour.

Business Analyst (Insurance Domain) -Senior

Saama Technologies Inc

Philadelphia, PA โ€ข Remote

$88K - $114K/yr

Full-time

Re-posted 23 days ago


Job description

Role โ€“ Senior Business Analyst (Insurance Domain)

Location โ€“ Remote or Jersey City, NJ

Key Responsibilities

  • Analyze existing (mostly Excel+SQL) actuarial reports /measures and instruct developers on how to replace these reports within our Segment Data Warehouse.  This may include:
  • Clarification on key calculations and analysis of the underlying data;
  • In some circumstances, development of requirements documentation and acceptance criteria.
  • Perform Quality Assurance (QA) testing to validate that new reports/measures meet requirements.  This may include:
    • Validation that the data the report produces matches the expected results;
    • Assistance with troubleshooting issues through data analysis.
    • Coordinate and own User Testing and Signoff.
    • Responsible for coordination of acceptance testing through signoff.

Qualifications

The analyst should have prior knowledge and experience with, preferably reinsurance, actuarial/reserving reporting processes and would be able to quickly understand firmโ€™s calculations, data and processes.

Education

  • Bachelors or Masters in Information Technology, Computer Science or relevant field.

Work Environment 

This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.

Physical Demands 

This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required. 

Other Duties 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO 

Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.