BI Analyst: Supply Chain Analytics & Dashboards

KLA Corporation

Ann Arbor (MI)

On-site

USD 70,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) match
ESPP

Job summary

KLA is seeking a Business Intelligence Analyst to build the data foundation for the spares supply chain analytics. You will turn complex data into actionable insights, partnering with planning, procurement, and technical teams to drive cost reductions and better inventory management.

The role emphasizes data products, ambiguity tolerance, and effective communication with cross-functional stakeholders in a fast-paced environment.

Qualifications

  • Master's degree or higher in a relevant field.
  • Experience building analytics, dashboards, or data products.
  • Proficiency with Power BI or Tableau for data visualization.

Responsibilities

  • Define business metrics and create analytics tools to explain drivers of results.
  • Build end-to-end dashboards with ETL pipelines, semantic models, and measures.
  • Improve existing dashboards and data products through enhancements and bug fixes.
  • Validate data quality to ensure accurate reporting and reliability.
  • Document data models and end-to-end data flows for maintainability and self-service.
  • Translate data findings into actionable recommendations for stakeholders.
  • Collaborate with planning, procurement, and technical teams to shape solutions.
  • Communicate findings clearly to technical and non-technical audiences.

Skills

Power BI
Tableau
SQL
Data modeling
ETL
Snowflake
Databricks
Git
GitHub
Big data

Education

Master's Degree
Bachelor's Degree

Tools

Power Query
DAX

Job description

KLA is seeking a Business Intelligence Analyst to build the data foundation for the spares supply chain analytics. You will turn complex data into actionable insights, partnering with planning, procurement, and technical teams to drive cost reductions and better inventory management.

The role emphasizes data products, ambiguity tolerance, and effective communication with cross-functional stakeholders in a fast-paced environment.

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