Applied Materials

Compensation

Full Description

Analyze large datasets related to inventory, variances, material flows, and operations across AMAT's global supply chain. Build, maintain, and automate dashboards and manual inventory reporting processes using Power BI, Tableau, and similar BI tools. Maintain critical inventory‑related Tableau dashboards; independently troubleshoot issues and ensure reporting continuity. Collaborate with GIS and technical teams to resolve data quality, pipeline, and integration issues. Consolidate and extract large amounts of SAP data; summarize into clear, digestible insights for business partners. Diagnose data inconsistencies, identify trends/anomalies, and build automated processes or platforms to support recurring analysis. Support the quarterly financial submission cadence with required data, reconciliations, and analytics. Partner with Supply Chain, Operations, Finance, and IT to translate business requirements into scalable BI solutions. Present insights clearly to technical and non‑technical stakeholders; train and support users on dashboards and reports. Experience working with large, complex datasets in fast‑paced operational environments. Strong analytical skills with understanding of inventory behavior, materials flow, and variance drivers. Proficiency with BI tools: Power BI, Tableau (preferred) Strong SQL for querying, transformation, and validation. Advanced Excel skills: PivotTables, advanced formulas (XLOOKUP/INDEX‑MATCH/nested logic), Power Query / Power Pivot, data modeling; ability to build automated/semi‑automated templates. Understanding of basic financial analysis and forecasting concepts (e.g., variance analysis, trend modeling, sensitivity). Strong data storytelling, communication, and cross‑functional collaboration skills. Experience in manufacturing, supply chain, inventory management, or operational analytics; semiconductor/high‑tech experience a plus. SAP & BPC proficiency (nice‑to‑have). Familiarity with ERP ecosystems (SAP, Oracle, NetSuite) and modern data platforms (Azure, Snowflake). Experience working within a global organization and across multiple time zones. Bachelor's degree in Business, Analytics, Information Systems, Supply Chain, Finance, Engineering, or related field