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Internship Insurance Data Analytics Jobs in Philadelphia, PA

Document work, including code comments, notes, and a final summary of the internship project ... Company Life Insurance. * A variety of additional benefits and perks. Other Benefits Include: If ...

About the SAP Internship Experience Program The SAP Internship Experience Program is SAP's global ... Identify high-potential customer opportunities through data analysis and trend tracking. * Create ...

About the SAP Internship Experience Program The SAP Internship Experience Program is SAP's global ... Identify high-potential customer opportunities through data analysis and trend tracking. * Create ...

About the SAP Internship Experience Program The SAP Internship Experience Program is SAP's global ... Identify high-potential customer opportunities through data analysis and trend tracking. * Create ...

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Internship Insurance Data Analytics information

See Philadelphia, PA salary details

$12

$22

$42

How much do internship insurance data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship insurance data analytics in Philadelphia, PA is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Insurance Data Analytics Intern, and why are they important?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an Insurance Data Analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What is an Internship in Insurance Data Analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.
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 job categories do people searching Internship Insurance Data Analytics jobs in Philadelphia, PA look for? The top searched job categories for Internship Insurance Data Analytics jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Internship Insurance Data Analytics jobs? Cities near Philadelphia, PA with the most Internship Insurance Data Analytics job openings:
Reporting Data Analyst with P&C Insurance

Reporting Data Analyst with P&C Insurance

Cerebra Consulting, Inc.

Conshohocken, PA • On-site

$60/hr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Title: Reporting Data Analyst with P&C Insurance
Locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Garden City, NY; Houston, TX; Morristown, NJ; Mt. Juliet, TN; New York, NY; Purchase, NY - Hybrid 03 days per week onsite from day 1
Duration: Long Term
Visa: Any
Experience: 08+ Years
Client: P&C Insurance
Pay rate: $60/Hr on C2C inclusive all
Responsibilities:
  • Act as a data and domain Analyst for P&C insurance subject areas (e.g., policy, claims, financials).
  • Collaborate with business stakeholders to gather, clarify, and validate reporting and extract requirements.
  • Translate insurance business concepts into accurate data logic, metrics, and dimensional definitions.
  • Leverage knowledge of source applications (e.g., Guidewire, Genius, SAP) to ensure correct data interpretation and lineage.
  • Ensure reports and extracts align with approved business definitions, regulatory needs, and data governance standards.
  • Create and validate SQL queries, views, or semantic-layer objects against the enterprise data warehouse.
  • Review and certify reports for accuracy, reconciliation, and consistency across systems.
  • Document data definitions, business rules, and reporting assumptions.
  • Support UAT and investigate data discrepancies between source systems and the data warehouse.
  • Educate business users on proper interpretation and usage of insurance data.

Technical Skills:
  • 8+ years as a hands-on IT Reporting data analyst.
  • 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
  • 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
  • Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
  • Strong SQL skills and experience querying enterprise data warehouses.
  • Understanding of dimensional modelling and enterprise reporting concepts.