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Insurance Data Analytics Jobs in Philadelphia, PA

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 ...

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 ...

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 · On-site +1

... 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 ...

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 ...

The Hartford

Investment Data Analyst

Wayne, PA · On-site

$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 ...

Citigroup, Inc.

Data Quality Lead Analyst

Wilmington, DE · On-site

$140K - $145K/yr

Data Quality & Data Analytics and Reporting Job Family Group: Job Family: Time Type: Full time ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

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

Insurance Data Analytics information

See Philadelphia, PA salary details

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How much do insurance data analytics jobs pay per hour?

As of Aug 9, 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.

Business Data Analyst

Apex Informatics

Philadelphia, PA • On-site

Other

Re-posted 7 days ago

Job description

Job Title- Business Data Analyst
Location- Philadelphia, PA (Hybrid)
Duration- 06 Months (C2H Position)
Visa- USC/GC/EAD
Job Details: The Business Data Analyst role on the EIM - Data Warehouse team requires experience in creating Business Requirement Documents, Functional Requirement Documents, and Mapping documents for the development of ETL applications. This role requires extensive SQL experience in writing complex queries across multiple tables, data analysis, and profiling skills for the creation of the mapping documents and further discussion with data modelers for the necessary table designs.
The ideal candidate should have all of the above skills at an expert level along with strong verbal and written communication skills to work with various stakeholders, gather and formulate business requirements and translate the same to the technical team.
Other preferred experience includes Source-to-Target mapping, health insurance knowledge and general data warehousing. The candidate will also be comfortable enough to support testing, production readiness verification and ensuring accuracy after the deployments. This might include weekend and off hours support. Candidates should be local to the office.
Mandatory:
1. Strong Data Profiling and Analysis skills
2. Strong SQL knowledge
3. Strong Data Mapping and Functional requirements documentation skills
4. Strong verbal, writing and active listening skills

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