PLM & Analytics Intern: Data, AI & ERP

KLA; Ann Arbor Charter Township (MI); On-site; USD 33,000 - 44,000; Full time

Job summary

KLA is offering a Business Analyst Intern role in Ann Arbor, MI to support strategic initiatives across Data Governance, AI, Analytics, PLM, and ERP. You will help document governance processes, gather requirements, and analyze data flows between PLM, ERP, and analytics platforms.

The role involves creating dashboards, identifying AI use cases, and preparing executive-level presentations while collaborating with cross-functional teams.

Qualifications

• Bachelor's degree or pursuing in related field; 0 years experience expected.
• Strong analytical skills and ability to turn requirements into insights.
• Familiarity with PLM/ERP domains, data governance, and dashboards.

Responsibilities

• Support governance initiatives for Product, BOM, Part, Supplier, Customer, and Manufacturing data.
• Document data governance processes, policies, standards and rules.
• Help catalog data, manage metadata, data lineage, and business glossary.
• Assist Data Stewards/Owners in critical data domains.
• Gather and document requirements from multiple teams (Engineering, Manufacturing, Supply Chain, Quality, Service).
• Map business processes across PLM and ERP systems; perform gap analysis.
• Create dashboards and reports to support decisions; present findings.

Skills

AI/ML knowledge

PLM/ERP data exposure

Data governance platforms

ETL/cloud platforms

Dashboards (Power BI/Tableau)

Agile/Scrum

Python/SQL/data analytics tools

Education

Bachelor's Degree or pursuing in Business Analytics/IS/Data Science/CS

Pursuing Bachelor's or Master's degree

Tools

Power BI

Tableau

Collibra

Informatica

Alation

Purview

Azure

AWS

GCP

Job description

KLA is offering a Business Analyst Intern role in Ann Arbor, MI to support strategic initiatives across Data Governance, AI, Analytics, PLM, and ERP. You will help document governance processes, gather requirements, and analyze data flows between PLM, ERP, and analytics platforms.

The role involves creating dashboards, identifying AI use cases, and preparing executive-level presentations while collaborating with cross-functional teams.