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Insurance Data Analytics Jobs in Pennsylvania (NOW HIRING)

Airgas

Salesforce Data Analyst

Radnor, PA · On-site

... Insurance. * Support for Parents: We offer up to 14-week paid child birth benefits to support ... Design, build, and maintain custom Salesforce reports, dashboards, and Analytics (Tableau and/or ...

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 ...

UHS

Revenue Cycle Analyst - Data and Analytics

PA · On-site

... insurance offering, a physician network and various related services located in 40 U.S. states ... Data and Analytics. As a Revenue Cycle Analyst, you'll be responsible for assessing current revenue ...

Airgas

Salesforce Data Analyst

Radnor, PA · On-site

... Insurance. * Support for Parents: We offer up to 14-week paid child birth benefits to support ... Design, build, and maintain custom Salesforce reports, dashboards, and Analytics (Tableau and/or ...

Airliquidehr

Salesforce Data Analyst

Radnor, PA · Hybrid

... Insurance. * Support for Parents: We offer up to 14-week paid child birth benefits to support ... Design, build, and maintain custom Salesforce reports, dashboards, and Analytics (Tableau and/or ...

Sidram Technologies

AWS Data Lead

Erie, PA · On-site

... analytics. Lead design, prototyping and delivery of software solutions within the cloud data eco-system to help develop new capabilities for customer business (P&C Insurance). Lead modern data ...

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

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 Insurance Data Analytics jobs in Pennsylvania?

For Insurance Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Pennsylvania look for?

The top searched job categories for Insurance Data Analytics jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Insurance Data Analytics jobs?

Cities in Pennsylvania with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

AVP, Claims Data Solutions & Insights

Chubb

Philadelphia, PA • On-site

Full-time

Re-posted 4 days ago

Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

141st of 308 rated insurance

Job description

Job Summary:
Chubb is a world leader in insurance, and they are seeking a highly skilled Assistant Vice President to support the Claims Data Solutions and Insights team. This role focuses on hands-on execution and collaboration to advance strategic Claims Transformation and Data initiatives, delivering actionable insights to promote a data-driven decision-making culture.
Responsibilities:
• Collaborate with the VP and team members to set priorities, track progress, and ensure timely, high-quality deliverables.
• Serve as a key data consumer, ensuring business intelligence, operational metrics, modeling, analytics, and reporting requirements are met.
• Analyze claims data flows, dependencies, and impacts, and support business process understanding related to source system and/or vendor data.
• Partner with corporate data delivery teams to help develop claims data products for broader business users.
• Support end-to-end data & analytics solutions for Claims Transformation initiatives.
• Work with global analytics teams to assist in developing and implementing AI/ML solutions into claims workflows, monitor outcomes, and identify opportunities for improvement.
• Identify and recommend essential data elements to support strategic initiatives, ensuring precision, completeness, and consistency.
• Assist in defining and documenting use cases, business requirements, and anticipated business benefits.
• Collaborate with Claims Actuarial Insights and Claims Business Intelligence teams to deliver actionable insights and creative solutions to Claims, Underwriting, and Actuarial stakeholders.
Qualifications:
Required:
• Bachelor’s degree required; 7+ years of experience in the P&C insurance industry with a focus on data-driven decision-making.
• Claims data & analytics experience strongly preferred.
• Demonstrated ability to work collaboratively in cross-functional teams; project management experience is a plus.
• Strong analytical, problem-solving, and organizational skills with a proven ability to connect complex datasets to actionable business insights.
• Proficiency in one or more of the following: SQL, R, or Python.
• Excellent written and verbal communication skills, with the ability to present data findings clearly to both technical and non-technical stakeholders.
• Strong attention to detail and documentation skills.
• Ability to thrive in a fast-paced, fluid environment.
Preferred:
• Working knowledge of QlikSense, Power BI, or Tableau.
Company:
Chubb is a world leader in insurance. Founded in 1985, the company is headquartered in Zürich, CHE, with a team of 10001+ employees. The company is currently Late Stage.

What Chubb employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US

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