Assurance Division Intern

Job Description

Assurance Division Intern | NSF

The Tone:
This is a 12-week internship at NSF, located in Ann Arbor, MI, requiring a hybrid work schedule of three days in the office. NSF is a global organization with an 80-year legacy, committed to improving human and planet health through science and innovation. They provide independent testing, inspection, certification, and advisory services, and develop standards for the food, water, and life sciences industries. This role is crucial within the Assurance division, where the intern will support cross-functional teams by contributing to essential data gathering, organization, and analysis, directly impacting business objectives and helping empower clients to navigate regulations and enhance consumer health, safety, and quality of life.

The TL;DR
• Role: Internship
• Type: 12-week internship
• Location: Hybrid; Ann Arbor, MI

• Team: Client-focused teams with deep industry expertise, providing digital, information security, and sustainability solutions across food, water, and life sciences.
• Mission: This person gathers and organizes data, performs basic data manipulation and accuracy checks, and assists in preparing insights to support business objectives and division needs.
• Tech Stack: Excel, Power BI, Microsoft Suite (Word, Outlook, Teams)

What You’ll Actually Do
• Data Support: Gather and organize essential data to support cross-functional teams and business objectives.
• Data Manipulation: Assist with basic data manipulation, cleaning datasets, and preparing simple analyses in Excel and Power BI.
• Quality Control: Perform routine data accuracy checks under the guidance of senior team members.
• Reporting: Prepare clear summaries or visuals to effectively communicate findings to internal stakeholders.
• Documentation: Support documentation activities, including updating files, organizing materials, and maintaining version control.

The Must-Haves
• Background: Early Career; Interest in data analysis and problem-solving.
• Experience: High proficiency in Excel, including sorting, filtering, formulas, and charts. Familiarity with the Microsoft Suite (Word, Outlook, Teams).
• Skills: Strong attention to detail, good communication skills, ability to work independently with guidance, and a collaborative mindset.
• Bonus: Exposure to Power BI or a strong willingness to learn it; interest or coursework in quality systems, analytics, engineering, or related fields; experience with automation tools (e.g., Power Automate) is a plus.