PLM BI Analytics Intern
- Ann Arbor, MI, United States
$24 to $32 USD / hour
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Job details
- Pay
- $24 to $32 USD / hour
- Posting language
- English
- Posted
Original job description
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
Group/DivisionKLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.
What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
We are seeking a highly motivated Business Analyst Intern to support strategic initiatives across Data Governance, Artificial Intelligence (AI), Analytics, Product Lifecycle Management (PLM), and Enterprise Resource Planning (ERP) domains. Job Duties include:
Data Governance Support governance initiatives involving Product, BOM, Part, Supplier, Customer, and Manufacturing data Assist in defining and documenting data governance processes, policies, standards, and business rules Support data cataloging, metadata management, data lineage, and business glossary initiatives Participate in data quality assessments and root cause analysis of data issues Assist Data Stewards and Data Owners in maintaining critical business data domains
Business Analysis Gather and document business requirements from Engineering, Manufacturing, Supply Chain, Quality, and Service teams Support mapping of business processes across PLM and ERP systems Conduct gap analysis and identify opportunities for process improvement Support workshops, interviews, and stakeholder meetings
AI & Analytics Analyze data flows between PLM, ERP, Data Warehouse, and Analytics platforms Assist in identifying use cases for AI, machine learning, and analytics solutions Support data preparation, profiling, and validation activities Create dashboards, reports, and visualizations to support business decision-making Analyze trends, patterns, and key performance indicators (KPIs) Evaluate data readiness for AI and analytics initiatives
Reporting & Documentation Develop presentations and executive summaries for leadership teams Create and maintain project documentation, process diagrams, and business reports Support governance committees and project teams with meeting notes and action tracking
Preferred Qualifications Knowledge of AI, Machine Learning, Generative AI, or Large Language Models (LLMs) Exposure to PLM and ERP systems and data model Exposure to data governance platforms such as Collibra, Informatica, Alation, or Microsoft Purview Familiarity with ETL, data integration, APIs, or cloud platforms (Azure, AWS, GCP) Experience creating dashboards in Power BI or Tableau Understanding of Agile or Scrum methodologies Knowledge of Python, SQL, or data analytics tools
Analytical Skills Strong analytical and problem-solving abilities Ability to interpret business requirements and convert them into actionable insights Comfortable working with structured and unstructured data Attention to detail and commitment to data accuracy Communication Skills Strong written and verbal communication Ability to interact effectively with business and technical teams Ability to present findings in a clear and concise manner
Base Pay Range: $24.00 - $32.00 Per Hour
Minimum Qualifications Bachelor's Level Degree and 0 years relat
More about this job
Skills
- PLM
- Google Analytics
- ERP
- Cataloging
- Root cause analysis
- Business analysis
- Supply chain management
- Business processes
- Process improvement
- Data warehouse
- Machine learning
- Decision making
- Reporting
- Documentation
- Presentation skills
- Leadership
- Informatica
- Data engineering
- Microsoft Azure
- AWS
- Google Cloud
- Microsoft Power BI
- Tableau
- Agile
- Scrum
- Python
- SQL
- Data analysis
- Analytical skills
- Problem solving
- Unstructured data
- Attention to detail
- Communication skills