Summer 2027 Intern - Data Analyst - Aftermarket

About the company

The Manitowoc Company

Machinery · 1,001 to 5,000 employees

What you'll do

• Analyze existing aftermarket parts and services data to support Pricing Group segmentation.
• Segment parts according to established Price Group criteria and business requirements.
• Assist with defining and maintaining aftermarket pricing segments.
• Perform data validation and cleansing activities for master data records.
• Identify missing, inconsistent, duplicate, or inaccurate data and document findings.
• Support updates to master data records while following established data-governance standards.
• Organize analysis and maintain clear documentation of segmentation decisions and data-quality findings.
• Participate in Global Master Data team meetings and collaborate with business stakeholders.
• Contribute to continuous-improvement initiatives related to data quality, segmentation, and master data processes.
• Prepare a summary of findings, recommendations, and completed improvements.
• Complete other data analysis and master data projects based on business needs.
• Practical data analysis in a global business environment
• Master data validation, cleansing, and maintenance
• Aftermarket parts and services data
• Pricing Group analysis and segmentation
• Applying business rules to categorize and maintain data
• Identifying and resolving data-quality issues
• Data documentation, reporting, and recordkeeping
• Data governance and continuous-improvement practices
• Communicating findings and recommendations to business stakeholders
• A professional global data-management environment
• Global Master Data operations and data-governance practices
• Aftermarket pricing structures for crane parts and services
• The relationship between master data quality, pricing accuracy, and business performance
• Collaboration with data, pricing, aftermarket, and other cross-functional teams
• Continuous-improvement initiatives that strengthen data integrity and support informed decision-making
• Presenting data findings in a clear and practical business context
• Must be enrolled at an accredited college or university pursuing a bachelor’s degree in Data Analytics, Data Science, Business Analytics, Information Systems, Supply Chain, Finance, Business, or a related field.
• Interest in data analysis, master data management, pricing, and continuous improvement.
• Ability to analyze, organize, and interpret large or complex data sets.
• Proficiency with Microsoft Office, particularly Excel, Word, Outlook, and PowerPoint.
• Strong analytical, organizational, and problem-solving skills.
• Excellent attention to detail and the ability to maintain accurate documentation.
• Effective written and verbal communication skills, including the ability to summarize and present findings.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Availability to work the internship schedule established by the Global Master Data team between May 1 and August 31, 2027.

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