Spares Planning & Analytics Analyst

KLA; Ann Arbor Charter Township (MI); Sur place; USD 78 000 - 114 000; Plein temps

Résumé du poste

KLA is seeking an Aftermarket Business Data Analyst to transform complex business data into actionable insights. You will support strategic decisions across global service and aftermarket operations, partnering with Demand Planning, Supply Chain, Operations, Finance and IT to improve inventory optimization, forecasting accuracy and business performance.

The role requires strong technical and analytical skills, effective communication and the ability to deliver data-driven solutions across the

Qualifications

• Bachelor's degree in CS, Stats, Data Analytics, or related field with 5+ years experience.
• Master's degree with 3+ years experience in a related area.
• Strong data analysis, visualization and reporting skills.

Responsabilités

• Analyze large datasets to identify trends, risks, opportunities, and root causes.
• Develop and maintain Power BI dashboards and reports.
• Collaborate with Demand Planning, Supply Chain, Ops, Finance, IT to translate needs.
• Build data models, predictive analytics, and forecasting tools.
• Write SQL queries and use Python to automate reporting.
• Present findings to senior leadership.
• Lead cross-functional BI projects for process improvement.

Connaissances

Analytical thinking

Communication

Stakeholder management

Cross-functional collaboration

Problem solving

Formation

Bachelor's degree in Computer Science, Statistics, Data Analytics, or related field

Master's degree in a related field

Outils

Power BI

DAX

Power Query

Python

SQL

Snowflake

SAP HANA

Plotly

Claude Code

Copilot

Description du poste

KLA is seeking an Aftermarket Business Data Analyst to transform complex business data into actionable insights. You will support strategic decisions across global service and aftermarket operations, partnering with Demand Planning, Supply Chain, Operations, Finance and IT to improve inventory optimization, forecasting accuracy and business performance.

The role requires strong technical and analytical skills, effective communication and the ability to deliver data-driven solutions across the