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Insurance Data Analytics Jobs in Philadelphia, PA

Conner Strong & Buckelew

Data Associate

Camden, NJ

$80K - $100K/yr

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 ...

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders ... analytics role, preferably in the health benefits space/insurance industry, with a solid ...

Conner Strong & Buckelew

Data Associate

Camden, NJ · On-site

$80K - $100K/yr

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 ...

USLI

Data Analyst

Wayne, PA · On-site

At USLI, we're not just about insurance - we are committed to making a difference, both internally ... Data analysis : Collect, extract and analyze data from multiple systems to support accounting ...

Jj

Senior Data Analyst

Titusville, NJ · On-site +1

$110K - $117K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job ... Apply engineering principles for data mining and visualization on EMR, registry data, and insurance ...

PMA Companies

Data Analyst

Blue Bell, PA · On-site

Complete PAL Financial Data Call reporting, including submissions to ISO and state insurance ... Strong analytical, organizational and problem-solving skills. * Proficiency in Microsoft Excel ...

Comcast

Compliance Analytics Analyst 3

Philadelphia, PA · On-site +1

You will leverage data analytics and automated monitoring tools to assess control effectiveness ... Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast ...

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 ...

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

Insurance Data Analytics information

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How much do insurance data analytics jobs pay per hour?

As of Aug 8, 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.

Data Associate

Conner Strong & Buckelew

Camden, NJ

$80K - $100K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 24 days ago

Job description

Department: Employee Benefits

Principal Responsibilities
  • Collaborate with cross-functional teams, managing analytical projects, and ensuring the delivery of accurate and relevant analyses to support client's organizational goals.
  • Oversees the analysis of large and complex datasets stored in the data warehouse.
  • Develop, extract and replicate insights and trends gained from large and complex of healthcare data available (medical claims, drug claims, disability, etc.) to promote population health decision making and strategy.
  • Understand the data (including source, meaning, and application), the reporting system capabilities, and can use this knowledge to communicate effectively to with internal team and clients, as appropriate.
  • Ensures data quality and integrity in analytical outputs.
  • Leverage advanced reporting server(s), and work with the identified scope to develop, and maintain enhanced reporting and dashboards for the client(s) to guide direction and best practices for application of the data.
  • Perform financial analysis for all coverages, examining both overall cost and benefit structures, various plan design and contribution modeling on both fully insured and self-funded accounts.
  • Knowledge of the carrier claims reporting process as it relates to content and accuracy.
  • Ability to manage both internal and external client deadlines.
  • Ability to develop custom financial modelling at the client's request and/or the ability to incorporate a "non-standard" request using our existing tools
  • Attend client meetings/conference calls as needed
  • Remain current on industry trends and information, new product information, legislation, regulatory requirements, coverage's, compliance and technology; communicate changes and address issues with clients on a proactive basis.
Requirements
  • Bachelor's degree in Economics, Data Science, Analytics, Statistics, Health Informatics, Computer Science or related field preferred
  • Minimum 5 plus years of experience working in the health data analytics field; preferably in a data analytics role at a consultancy or brokerage
  • Strong working knowledge of healthcare analytic methodologies, healthcare payer challenges, solutions, strategies and key performance indicators
  • Experience using healthcare data analytics tools such as Springbuk, Artemis, Merative, Cedar Gate, Milliman, HDMS or other similar tools
  • Comfortable leveraging Tableau and SQL
  • Strong written and verbal communication skills, presentation skills, critical thinking and problem solving skills.
  • Ability to make verbal in person presentations to internal staff and prospects/clients.
  • Ability to work independently on projects and in a consultative team environment.
  • Proficiency in the Microsoft Office products including PowerPoint, Access and Word.

    Working Conditions

    Office environment with moderate noise level; able to work flexible hours and travel to other Conner Strong offices and Client work sites as needed.

    Compensation:

    Salary for this position ranges from $80,000.00 - $100,000.00. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

    Qualifying positions will also be eligible for comprehensive benefits, such as participation in family medical and dental insurance programs, 401K plan, and PTO.

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