Supply Chain Analytics Intern
Focus Loom
Ada Township, MIFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Data analysisOperationsData visualizationStakeholder managementSQLPower BI
- Nice to have
- Python
- Work
- On-site in Ada Township · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis87%Data visualization67%Stakeholder management38%Operations31%of 78 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
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.
Key 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.
- 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.
- Analyze existing data flows and reporting processes to identify opportunities for increased efficiency, automation, and improved data quality.
- 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.
Requirements & Tech Stack
- 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.
Qualifications
- 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.
- Strong communication skills.
- Ability to translate technical concepts for business audiences.