Supply Chain Intern

Focus Loom; Michigan; On-site; USD 21,000 - 30,000; Full time

Job summary

Focus Loom is seeking a Supply Chain Analytics Intern to support analytics, data platforms, and automation across the supply chain. You will work with cross-functional teams on meaningful projects that leverage data, AI, and visualization to improve business processes and decisions.

You will gain experience at the intersection of supply chain operations and analytics, building dashboards, enhancing data quality, and translating technical concepts for business audiences.

Qualifications

• Active enrollment in a technical/analytical supply chain program.
• Strong foundation in mathematics and statistics.
• Experience or coursework in AI tools relevant to analytics.

Responsibilities

• Support development and maintenance of data platforms and reporting solutions.
• Analyze trends and business data to uncover insights.
• Create dashboards and visualizations for decision-making.
• Improve data collection, accessibility, and reporting processes.
• Collaborate with partners to translate requirements into analytical solutions.
• Explore automation and AI to improve efficiency and outcomes.
• Develop data storytelling and stakeholder management skills across supply chain teams.

Skills

SQL

Python

Tableau

Power BI

Data analysis

Data visualization

Excel

AI tools

Education

Undergraduate in Supply Chain / Analytics

Master’s student (Dec 2027–Apr 2028)

Tools

Tableau

Power BI

Job description

We are looking for a supply chain analytics intern to support supply chain management, data analytics, and controls and automation. As a Supply Chain Analytics Intern, you will work with teams across the supply chain organization on meaningful projects that leverage data, analytics, automation, and emerging AI capabilities to improve business processes and decision-making.

Your Responsibilities:

• Supporting the development, maintenance, and enhancement of data platforms and reporting solutions.
• Analyzing trends and business data to uncover insights and opportunities.
• Creating dashboards and visualizations that help stakeholders make informed decisions.
• Improving data collection, accessibility, and reporting processes.
• Collaborating with business partners to understand requirements and translate them into analytical solutions.
• Exploring opportunities to leverage automation and AI capabilities to improve efficiency and business outcomes.
• Throughout the internship, you will gain experience working at the intersection of supply chain operations, analytics, and technology while developing skills in data storytelling, stakeholder management, and business problem-solving.
• Example #1 - Supply Chain Dashboard Development.
• Design and enhance dashboards that provide visibility into key supply chain performance metrics. Work with stakeholders to determine reporting needs and create visualizations that support decision-making.
• Example #2 - Data Process Improvement.
• Analyze existing data flows and reporting processes to identify opportunities for increased efficiency, automation, and improved data quality.
• Example #3 - Business Insights & Analytics.

Requirements:

• Supply Chain Management (with a technical or analytical focus).
• Mathematics.
• Statistics.
• AI (specific to Master’s programs).
• Students who will have completed their junior year of undergraduate study and are entering their senior year, as well as Master’s-level students, with an anticipated graduation date between December 2027 and April 2028.
• Technical Skills: SQL (Required), Python (preferred).
• Data visualization and dashboarding tools such as Tableau or Power BI.
• Data analysis and reporting.
• Cloud platforms and cloud-based data environments.
• Microsoft Excel and other Microsoft Office applications.
• Experience using AI tools to support analysis, automation, or productivity.
• Business intelligence, reporting, or analytical software.
• Ability to translate technical concepts for business audiences.

Important: The successful application submission for the above role(s) will be conditional to your profile evaluation by our AI system. We can let you know better once you submit your resume.