Post Job Free
Sign in

Data Intern

Company:
Ohio Department of Education
Location:
Canal Winchester, OH, 43110
Posted:
October 30, 2025
Apply

Description:

Data Intern About the Role We are seeking a highly motivated and proactive Data Intern to join our team.

This position is ideal for a student or recent graduate looking to gain valuable, practical data analysis experience while working with real-world datasets and contributing to meaningful projects.

* Compensation: This is an unpaid internship offered for experience and/or academic credit only.

* Duration: Up to 12 months * Hours: Part or Full Time (20-40H/week) * Location: On-Site Canal Winchester Key Responsibilities The intern will have the opportunity to learn and assist with: * Data Sourcing and Preparation: Helping to extract and prepare data from various sources (e.g., spreadsheets, internal systems, online data repositories), focusing on data integrity and cleanliness.

* Exploratory Data Analysis (EDA): Performing initial data exploration and statistical analysis to uncover basic trends, patterns, and anomalies.

* Reporting Support: Assisting in the creation of basic reports and data visualizations using tools like Tableau or Power BI to communicate findings clearly.

* Project Assistance: Supporting senior analysts on ongoing data projects, which may include reviewing code, documenting processes, or researching new methodologies.

* Tool Development: Gaining exposure to data analysis tools and languages, such as SQL, Python, or R, through practical application Qualification Required * Currently pursuing or recently completed a degree in a quantitative field such as Data Science, Statistics, Computer Science, Economics, or Mathematics.

* A strong academic foundation and genuine interest in data analysis.

* Familiarity with foundational concepts in statistics and data manipulation.

* Excellent attention to detail and problem-solving skills.

* Access to necessary equipment and a reliable internet connection (if remote). * Ability to commit to a consistent weekly schedule.

Preferred * Basic knowledge of SQL or one programming language (e.g., Python/R). * Experience with Excel for data cleaning and reporting.

Apply