Business Intelligence Analyst

KLA•Ann Arbor, MI

21h•$70,400 - $119,700

About The Position

The Business Intelligence Analyst builds and maintains the data foundation behind the spares supply chain organization's analytics, including data pipelines, models, trusted metrics, and data products that teams use for insights and decision making. Working with planning, procurement, and technical stakeholders, the role transforms complex and disparate data into analytics and data-driven solutions that improve customer experience and lower inventory cost. The position suits a curious, analytical early-career professional who enjoys working with real-world data, building data products, navigating ambiguity, and communicating effectively with cross-functional stakeholders in a fast-paced environment. KLA Services supports customers' KLA assets through service sales, marketing, spares supply chain management, field operations, engineering, product training, digital solutions and analytics, and technical product support. Its service and product support engineers provide installation services and 24/7 technical support and parts delivery through an extensive supply chain network.

Requirements

Master's degree with 0 years of related work experience, or bachelor's degree with 2 years of related work experience.
Strong written and verbal communication skills, including the ability to explain data, methodology, and findings to non-technical audiences.

Nice To Haves

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 are 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.
Coursework, internship, project, or professional experience in supply chain, operations, or manufacturing.
Experience with a cloud data platform such as Snowflake, Databricks, or similar.
Familiarity with Git or GitHub for version control.
Familiarity with LLM-assisted analytics development, such as Claude Code or Codex.

Responsibilities

Define business metrics and build analytics and data-driven tools that help teams understand results and identify areas of focus.
Build and maintain dashboards end to end, including ETL data pipelines, semantic models, measures, and visualizations.
Maintain and improve existing dashboards and data products, including bug fixes and enhancements.
Test changes and validate data quality to ensure reporting is accurate, consistent, and reliable.
Document data models, measures, business definitions, and the flow from source data to visualizations; create work instructions that support maintainability and self-service.
Analyze the data behind metrics to explain results and develop actionable recommendations.
Partner with planning, procurement, and technical teams to understand business context before shaping solutions.
Communicate findings and recommendations clearly to technical and non-technical audiences.