Business Intelligence Analyst

KLATencor Corporation • Ann Arbor, MI • 2h ago

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/DivisionThe KLA Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. Our services organization maximizes the value of our customers' KLA assets - with highly trained service and product support engineers providing installation services and 24/7 technical support and parts delivery through our extensive supply chain network.

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. What You'll Do The Business Intelligence Analyst builds and maintains the data foundation behind the spares supply chain organization's analytics, from data pipelines and models to the trusted metrics and data products teams rely on for insights and decision making. Working directly with planning, procurement, and technical stakeholders, the role turns complex, disparate data into analytics and data driven solutions that improve customer experience and lower inventory cost. The ideal candidate is a curious, analytical early career professional who enjoys the complexity and nuance of real world data, likes building data products, is comfortable with ambiguity, and communicates effectively with cross-functional stakeholders in a fast-paced environment.

Key Responsibilities Define business metrics and build the analytics and data driven tools that help teams understand what is driving results and where to focus. Build and maintain new dashboards end to end, including ETL data pipelines, semantic models, measures, and visualizations. Maintain and improve existing dashboards and data products, from bug fixes to new enhancements. Test changes thoroughly and validate data quality so reporting is accurate, consistent, and reliable. Document data models, measures, business definitions, and the end-to-end flow from source data to visuals, and create work instructions that support maintainability and self-service. Dig into the data behind the metrics to explain what is driving results and turn findings into actionable recommendations. Partner with planning, procurement, and technical teams to understand the business @context of a problem before shaping the right solution. Communicate findings and recommendations clearly to both technical and non-technical audiences.

Preferred Qualifications: Degree in Supply Chain Management, Business Analytics, Industrial Engineering, Operations Management, Information Systems or a related field. Hands-on experience developing analytics, reporting, or data products through professional work, internships, academic projects, or research. Experience with BI or data visualization software such as Power BI or Tableau (Power Query and DAX a plus) Proficiency writing SQL to query and transform data. Understanding of data modeling and ETL concepts, such as star schemas, joins, and data transformation. Experience working with large, complex, or disparate data sources and turning imperfect data into analytics and insights. Working understanding of basic probability and statistics. Strong written and verbal communication skills, including explaining data, methodology, and findings to non-technical audiences. Coursework, internship, project, or professional experience in supply chain, operations, or manufacturing. Experience with a cloud data platform such as Snowflake, Databricks, or similar is a plus

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