Manitowoc

Summer 2027 Intern - Data Analyst - Aftermarket

Manitowoc Antrim Township, Pennsylvania, United States

Machinery Manufacturing · 1,001-5,000 employees

7 h ago
data-analyst Junior (0-2 yrs) Internship Full-time United States
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About the role

The intern will support the Global Master Data team by analyzing, validating, and segmenting aftermarket parts and services data for pricing groups. They will also document data-quality findings and contribute to continuous-improvement initiatives related to master data processes.

What they look for

Data Analysis Data Validation Data Cleansing Master Data Management Pricing Segmentation Microsoft Excel Microsoft Word Microsoft Outlook Microsoft PowerPoint Data Governance Problem-solving Documentation Communication Analytical Skills Organizational Skills Cross-functional Collaboration

Requirements

Candidates must be enrolled in a bachelor's degree program in a field such as Data Analytics, Data Science, or Business. Proficiency in Microsoft Office and strong analytical and organizational skills are required.

Full description

The Day to Day:

In the Data Analyst Intern role, you will support the Global Master Data team by analyzing, validating, and segmenting aftermarket parts and services data for Pricing Groups. You will gain practical experience with master data management, data quality, pricing segmentation, and the ways accurate, well-structured data supports pricing decisions and business performance.

  • 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.

In This Internship You Will Gain Experience With:

  • 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

You Will Be Exposed To:

  • 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

Qualifications:

  • 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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