Global Supply Chain Analytics Intern – AI & Insights

Mercury Marine; Fond du Lac (WI); Hybrid; USD 25,000 - 37,000; Full time

Job summary

Mercury Marine in Fond du Lac, Wisconsin, invites applicants to join as a Global Supply Chain Analytics & Insights Intern. You will gain hands-on experience in analytics, automation, ML, and AI-enabled solutions across Mercury’s Global Supply Chain, helping identify data-driven improvements and business value creation.

Work closely with cross-functional teams to develop dashboards, data models, and analytics tools, using Excel, Power BI, SQL, and Python.

Qualifications

• Pursuing degree in SCM, analytics, data science, or related field.
• Strong analytical, problem-solving, organizational and communication skills.
• Proficiency in Excel; interest in learning Power BI, SQL, Python, or Power Platform.

Responsibilities

• Partner with Global Supply Chain teams to identify data-driven improvements, automation, and advanced analytics.
• Translate business questions into defined use cases, hypotheses, data requirements, and analytical approaches.
• Support dashboards, reports, data models, and analytics tools to improve visibility and decision making.
• Assist in data cleansing, validation, visualization, and analysis using Excel, Power BI, Python, SQL, or similar tools.
• Evaluate analytics outputs against business outcomes to ensure practicality and alignment with needs.

Skills

Analytical thinking

Problem solving

Communication

Organization

Education

Pursuing degree in Supply Chain Management or Data Analytics

Tools

Excel

Power BI

SQL

Python

Power Platform

Job description

Mercury Marine in Fond du Lac, Wisconsin, invites applicants to join as a Global Supply Chain Analytics & Insights Intern. You will gain hands-on experience in analytics, automation, ML, and AI-enabled solutions across Mercury’s Global Supply Chain, helping identify data-driven improvements and business value creation.

Work closely with cross-functional teams to develop dashboards, data models, and analytics tools, using Excel, Power BI, SQL, and Python.