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Remote Insurance Data Analytics Jobs in Philadelphia, PA

Comcast

Senior Compliance Analyst

Philadelphia, PA · On-site +1

... remote option.) Job Summary Job Summary We are seeking a highly analytical and technically ... You will leverage data analytics and automated monitoring tools to assess control effectiveness ...

Comcast

Senior Compliance Analyst

Philadelphia, PA · On-site +1

... remote option.) Job Summary Job Summary We are seeking a highly analytical and technically ... You will leverage data analytics and automated monitoring tools to assess control effectiveness ...

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders ... analytics role, preferably in the health benefits space/insurance industry, with a solid ...

ParetoHealth

Lead Data Analyst

Philadelphia, PA · Remote

... based analytics role, preferably in the health benefits space/insurance industry * Working knowledge of Python for analysis and data wrangling (advanced modeling not required) * Deep, hands-on ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Philadelphia, PA

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 Aug 15, 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 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 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.

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 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.

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:

Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Philadelphia, PA as of August 2026, with employment types broken down into 4% Internship, 65% Full Time, 14% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $114,908 per year, or $55.2 per hour.

Data Analyst IV (Contractor)

Apidel Technologies

Philadelphia, PA • On-site, Remote

Full-time

Posted 29 days ago

Job description

Responsible for providing advanced analytical support and strategic insights to business stakeholders during a temporary resource gap.
This role will work cross-functionally to collect, analyze, and interpret complex data sets to inform business decisions, optimize performance, and ensure continuity of critical analytics functions.
This position is a senior individual contributor operating with a high degree of ownership, supporting both ongoing reporting needs and exploratory, hypothesis-driven analysis.
The role will also absorb a portion of the analytical responsibilities typically managed by the Data Team Manager during a period of reduced team capacity.
Core Responsibilities
Works with business leaders and cross-functional stakeholders to understand data and analysis needs; translates business requirements into technical approaches
Analyzes large, complex datasets to identify trends, drivers, and actionable insights using a variety of analytical tools and techniques
Conducts exploratory data analysis and hypothesis testing to inform strategic decision-making
Develops, maintains, and enhances dashboards and reporting to support ongoing business operations
Combines and queries data across multiple sources (e.g., SQL-based systems, cloud platforms) to support analysis
Communicates insights and recommendations clearly through data visualization and narrative-driven presentations
Supports evaluation of business initiatives, campaigns, and product features through measurement and performance analysis
Collaborates regularly with stakeholders and internal partners as part of a broader data team to align on priorities and deliverables
Exercises independent judgment and discretion in matters of significance; prioritizes work based on business impact
Required Qualifications
Significant experience in data analytics or a related field, typically at a senior or principal level
Advanced proficiency in SQL and Python
Strong Excel skills
Experience with BI and data visualization tools (Periscope preferred or equivalent)
Demonstrated ability to manage multiple priorities and deliver high-quality analysis in a fast-paced environment
Proven track record of delivering both recurring reporting and deep-dive, insight-driven analysis
Preferred Qualifications
Experience applying advanced analytics, statistical methods, or AI/ML techniques
Experience supporting product, marketing, or customer analytics functions
Location:
Ideally onsite in Philadelphia, PA or Irvine, CA (hybrid); open to remote


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About Apidel Technologies

Sourced by ZipRecruiter

We understand that attracting, qualifying, placing, and retaining the best candidates for our clients requires exceptional talent. That’s why our highly skilled and dedicated recruitment team works tirelessly to develop lifelong associations with all candidates and clients. We prioritize helping our employees achieve their career goals while providing effective staffing solutions to our clients and candidates. At Apidel, we believe in simple yet established core values that are ingrained within each member of our team. These values are time and again illustrated in our approach to employees, candidates, and clients. Our unwavering belief that our core values of integrity, client satisfaction, innovation, and intellect distinguish us from our competitors is what drives us forward. We remain focused on improving and sustaining a measurable client satisfaction program that has created an organizational culture where our associates provide world-class service every day.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Plainfield, IL, US

Year founded

2012

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