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Insurance Data Analytics Jobs in Pennsylvania (NOW HIRING)

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Moderate actuarial, insurance, data analytics, or related analytical experience * Bachelor's degree in actuarial science, Mathematics, Applied Math, Statistics, or related quantitative field

Showing results 41-60

Insurance Data Analytics information

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 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.

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.

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.

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 cities in Pennsylvania are hiring for Insurance Data Analytics jobs?

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

Infographic showing various Insurance Data Analytics job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Senior Data Engineer/Architect - Remote

Genesis10

Pittsburgh, PA โ€ข On-site

$55 - $70/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago


Job description

Genesis10 is currently seeking a Senior Data Engineer / Architect for a remote contract to hire position with a Major Healthcare Company located in Pittsburgh, PA. This position is 100% remote.
Compensation: $55.00 - $70.00 per hour, W2, based on qualifications
Position Overview:

We are seeking an experienced Senior Data Engineer with strong expertise in modern cloud-based data platforms and healthcare data ecosystems. The ideal candidate will have hands-on experience designing and implementing scalable data solutions using Snowflake, Azure Data Factory (ADF), and Medallion Architecture, along with deep knowledge of data modeling best practices. Experience working with Health Insurance data is highly preferred.
Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF) and Snowflake.
  • Implement and support Medallion Architecture frameworks (Bronze, Silver, and Gold layers) to enable trusted, high-quality analytics.
  • Develop conceptual, logical, and physical data models that support reporting, analytics, and operational data needs.
  • Optimize data ingestion, transformation, and storage processes to improve performance, reliability, and scalability.
  • Collaborate with business stakeholders, data architects, analysts, and application teams to understand data requirements.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Support enterprise data warehouse modernization and cloud migration initiatives.
  • Analyze complex healthcare datasets and translate business requirements into scalable technical solutions.
Primary Requirements:
  • 5+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
  • Strong hands-on experience with:
    • Snowflake
    • Azure Data Factory (ADF)
    • SQL
    • ETL/ELT development
    • Data Modeling (dimensional and relational)
  • Experience designing and implementing Medallion Architecture or similar modern data lakehouse frameworks.
  • Proven ability to build and optimize large-scale cloud-based data solutions.
  • Strong understanding of data governance and data quality best practices.
Preferred Qualifications:
  • Experience within the healthcare or health insurance industry.
  • Knowledge of healthcare data domains such as:
    • Claims
    • Member/Subscriber Data
    • Provider Data
    • Enrollment
    • Clinical or Population Health Data
  • Experience with Azure cloud services and modern data platform architectures.
  • Familiarity with healthcare regulations and data privacy requirements (HIPAA).
Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.
If you have the described qualifications and are interested in this exciting opportunity, please apply!
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website.
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#DIG10-OH

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About Genesis10

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For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US