Supply Chain Data Analytics Internship 2025

Company Overview

At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission-critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters.

Summary

The Supply Chain Data and Analytics Intern will play a key role in supporting our supply chain operations by collecting, analyzing, and interpreting data to identify trends, improve efficiency, and drive decision-making. This individual will collaborate with cross-functional teams to gather data, develop reports and dashboards, and provide insights to optimize our supply chain processes.

Responsibilities:

Collect data from various sources, including ERP systems, spreadsheets, and external databases.

Cleanse and prepare data for analysis, ensuring accuracy and consistency.

Develop visually appealing and informative reports, dashboards, and presentations to communicate findings effectively.

Utilize Excel, Python, R, or other tools to analyze supply chain data, identify trends, and uncover insights.

Proficiency in data analysis tools such as Excel (advanced functions, pivot tables, etc.)

Experience with at least one programming language like Python or R for data manipulation and analysis

Familiarity with SQL for querying and managing databases

Knowledge of data visualization tools like Tableau or Power BI to create insightful reports and dashboards

Strong analytical and problem-solving abilities to identify trends and patterns in data 

Preferred Skills:

Excellent communication and presentation skills to convey findings effectively

Ability to work independently and as part of a team

Strong organizational skills and attention to detail

Desire to learn more about supply chain operations and data analytics

Adaptability and willingness to learn new technologies and tools

Prior experience or coursework related to supply chain management, logistics, or operations preferred.

Required Skills:

Candidates must be pursuing a Bachelor's or Master's degree in a relevant field such as Supply Chain Management, Data Science, Business Analytics, Industrial Engineering, Operations Research, Statistics, or a related field.

Must have a graduation date on or after December 2025