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Insurance Data Analytics Jobs in Pennsylvania (NOW HIRING)

Galent

Client Engagement Manager

Erie, PA · On-site

We''re looking for a senior Insurance Data & AI leader to drive client engagements and lead enterprise data transformation initiatives. Key Requirements: * 10+ years of Data & Analytics consulting ...

AVI Foodsystems

Head of Data & Analytics

Sharon, PA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Health, dental, vision, and life insurance for full-time team members * 401(k) with generous ...

AVI Foodsystems, Inc

Head of Data & Analytics

Sharon, PA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Health, dental, vision, and life insurance for full-time team members * 401(k) with generous ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Renewal by Andersen

Claims and Risk Analyst

King Of Prussia, PA · On-site

$30/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Associate in Insurance Data Analytics (AIDA) - or willingness to pursue certification. - Experience communicating with all levels in an organization. Benefits - Medical, Dental, and Vision Insurance ...

CYNET SYSTEMS

Data Analyst

Pittsburgh, PA · On-site

$45 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Participation in industry forums or professional communities related to data analytics or ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Pennsylvania

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.

Client Engagement Manager

Galent

Erie, PA • On-site

Other

Posted 19 days ago

Job description

We''re looking for a senior Insurance Data & AI leader to drive client engagements and lead enterprise data transformation initiatives.

Key Requirements:

  • 10+ years of Data & Analytics consulting experience
  • Strong Insurance domain experience (mandatory)
  • Expertise in AI/GenAI, Data Analytics, and Data Strategy
  • Experience with AWS, cloud data platforms, and modern data architecture
  • Strong client-facing consulting, executive stakeholder management, and solutioning experience
  • Experience leading large transformation programs, RFPs, and delivery governance

If you have a strong background in Insurance + Analytics + AI + Client Engagement, I''d love to connect and discuss this opportunity.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law 

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