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Insurance Data Analytics Jobs in Philadelphia, PA

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 ...

SLK America Inc.

Data analyst

Wilmington, DE · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The ideal candidate will have strong expertise in data analysis, data quality, governance, and reference/master data management within financial services, banking, insurance, or large enterprise ...

Milliman

Healthcare Data Analyst (MedInsight)

Berwyn, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data ...

Transunion

Senior Data Analyst

Crum Lynne, PA

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

TransUnion

Senior Data Analyst

Crum Lynne, PA

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Conner Strong & Buckelew

Data Associate

Camden, NJ · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Oversees the analysis of large and complex datasets stored in the data warehouse. * Develop ... modeling on both fully insured and self-funded accounts. * Knowledge of the carrier claims ...

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

Insurance Data Analytics information

See Philadelphia, PA salary details

$24

$55

$95

How much do insurance data analytics jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for 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 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 Philadelphia, PA? The most popular types of Insurance Data Analytics jobs in Philadelphia, PA are:
What are popular job titles related to Insurance Data Analytics jobs in Philadelphia, PA? For Insurance Data Analytics jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Philadelphia, PA look for? The top searched job categories for Insurance Data Analytics jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Insurance Data Analytics jobs? Cities near Philadelphia, PA with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $114,908 per year, or $55.2 per hour.

Project Manager - Data Warehousing & Healthcare Insurance

Winaxis

Philadelphia, PA • On-site

$52.25 - $70.75/hr

Contractor

Re-posted 3 days ago

Job description

Job Summary (List Format):
- Role: Project Manager – Data Warehousing & Healthcare Insurance
- Location: Philadelphia, PA (onsite only, local candidates within 30 miles)
- Job Type: Contract
- Industry: Healthcare Insurance/Data Warehousing
- Visa: Any (except OPT/CPT)
Key Responsibilities:
- Lead end-to-end data warehousing projects for healthcare insurance clients
- Coordinate with data engineers, business analysts, and stakeholders to gather and define project requirements
- Oversee data migration, data transformation, and data reporting initiatives
- Collaborate with compliance teams to implement data governance best practices
- Ensure project alignment with business objectives and overall data strategy
- Monitor and manage project risks, budgets, and timelines
- Drive issue resolution and ensure project success
Required Qualifications:
- 6+ years of Project Management experience (with healthcare insurance and data warehousing focus)
- Strong knowledge of data warehousing concepts, ETL processes, and business intelligence (BI) tools
- Hands-on experience with SQL, Snowflake, Redshift, or similar data platforms
- Experience working with both Agile and Waterfall project management methodologies
- PMP or Agile certification is a plus