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Internship Insurance Data Analytics Jobs in Georgia

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

Our Enterprise Technology & Analytics department supports manufacturing, distribution, sales ... Academic, internship, personal, or professional projects using Power BI. * Basic understanding of ...

Our Enterprise Technology & Analytics department supports manufacturing, distribution, sales ... PREFERRED QUALIFICATIONSAcademic, internship, personal, or professional projects using Power BI.

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Showing results 21-40

Internship Insurance Data Analytics information

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 key skills and qualifications needed to thrive as an insurance data analytics intern?

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 are the most commonly searched types of Insurance Data Analytics jobs in Georgia?

The most popular types of Insurance Data Analytics jobs in Georgia are:

Infographic showing various Internship Insurance Data Analytics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Full-time, Part-time, Internship

Re-posted 20 days ago


Job description

Company Overview:

Summit Spine and Joint Centers (SSJC) is a rapidly growing, multi-state Interventional Pain Management group practice providing integrated clinical, surgical, and imaging services. With clinic locations across Georgia, North Carolina, South Carolina, and Tennessee, our care teams include Integrated Pain Solutions in North Carolina and Savannah Pain Management in Georgia, all operating as part of the SSJC organization. As one of the largest single-specialty practices in the nation, we are committed to collaboration, high-quality patient-centered care, and supporting our teams as we continue to expand. We are seeking motivated, qualified professionals to join us in delivering exceptional care across our growing network.

Job Description Summary:

Under general supervision of an Operations Analyst, the Data Analyst Intern must demonstrate excellent communication skills, strong problem-solving abilities, and the ability to multitask in a fast-paced environment. We are seeking a part-time, self-motivated Data Analyst Intern who will assist with administrative and data-related tasks.

This is a part-time position reporting to the Director of Administrative Operations. The primary location will be at the Administrative Building in Lawrenceville, GA. There is potential for a full-time, permanent offer upon completion of the internship based on business needs and performance.

Responsibilities:

· Learn aspects of data analysis and reporting while working directly with team leadership

· Collect and organize data to support business and operational decisions

· Assist in maintaining and updating databases and data systems

· Create and update reports and dashboards

· Identify trends and patterns through data analysis

· Perform various other data-related functions as necessary

Education and Skills:

· Bachelor’s degree in progress or recently completed, with a focus in STEM, Data Analytics, Finance, Business, Economics, Engineering, or a related field

· Familiarity with Microsoft Office

· Excellent written and verbal communication skills

· Ability to work independently and in a team environment

· Basic knowledge of data analysis concepts and tools preferred