Hybrid Data Analytics Intern (SQL & Python)

Arch Capital; Greensboro (NC); Hybrid; USD 36,000 - 39,000; Full time

Job summary

Arch U.S. MI Services Inc. offers a data analytics internship in Greensboro, NC, with a hands-on program to gain experience in the insurance industry.

Interns will develop skills in data cleaning, descriptive analytics, and data-driven reporting while collaborating with stakeholders and learning to document findings. The role emphasizes using SQL and Python, Excel and PowerPoint, and exposure to Tableau/Power BI, Git, and Azure for cloud-based data work.

Qualifications

• Actively completing graduate degree in Data Science, Computer Science, Computer Engineering, Information Systems, Business Analytics, or related program.
• Minimum 3.0 GPA or higher.
• College level – Junior or Senior student with graduation dates between December 2027 and May 2028.
• Proficiency in SQL and Python required.
• Awareness of Tableau or Power BI preferred.
• Familiarity with cloud-based technologies, Azure preferred.
• Data governance familiarity a plus.
• Proficient in MS Office, Excel and PowerPoint.
• Analytical and organizational skills; entrepreneurial spirit.

Responsibilities

• Collect, clean, and prepare data for analysis, ensuring data integrity.
• Perform basic descriptive and trending analysis.
• Partner with stakeholders to develop data-driven solutions.
• Compile analysis results into structured reports with summaries and conclusions.
• Use Git to manage changes to analysis scripts and documentation.

Skills

SQL

Python

Excel

PowerPoint

Problem solving

Teamwork

Education

Graduate degree in Data Science or related

GPA 3.0+

Tools

Tableau/Power BI

Azure

Git

Job description

Arch U.S. MI Services Inc. offers a data analytics internship in Greensboro, NC, with a hands-on program to gain experience in the insurance industry.

Interns will develop skills in data cleaning, descriptive analytics, and data-driven reporting while collaborating with stakeholders and learning to document findings. The role emphasizes using SQL and Python, Excel and PowerPoint, and exposure to Tableau/Power BI, Git, and Azure for cloud-based data work.