Data Systems Analyst

NVIDIA
Anywhere
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Analytical","Problem-solving","Communication","Cross-functional collaboration","Detail-oriented"]

Bridge manufacturing operations with data analytics by driving business insights that improve manufacturing efficiency and supply chain performance. Enable and monitor shop-floor data collection, audit data quality, and resolve production data discrepancies with partners and engineering teams. Own production configuration information integrity, establish data quality metrics, and support validation processes. Collaborate across IT, planning, and engineering to translate operational requirements into scalable data solutions and continuous improvement initiatives.

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FursaFursa
NVIDIA
NVIDIA
22 hours ago

Data Systems Analyst

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Bridge manufacturing operations with data analytics by driving business insights that improve manufacturing efficiency and supply chain performance. Enable and monitor shop-floor data collection, audit data quality, and resolve production data discrepancies with partners and engineering teams. Own production configuration information integrity, establish data quality metrics, and support validation processes. Collaborate across IT, planning, and engineering to translate operational requirements into scalable data solutions and continuous improvement initiatives.
Location: Anywhere
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Drive business insights to enhance manufacturing efficiency, operational execution, and supply chain performance.
  • •Enable and monitor shop-floor data collection for new and existing contract manufacturers and suppliers.
  • •Identify operational gaps, recommend improvements, and ensure data quality attributes and metrics for manufacturing data integrity.
  • •Audit manufacturing data quality, address anomalies, and implement validation processes for greater accuracy and visibility.
  • •Manage production configuration information integrity and collaborate with external partners and internal engineering teams to resolve production data discrepancies.

Key Requirements

  • •Bachelor’s or Master’s degree in Industrial Engineering, Supply Chain Management, Information Systems, Computer Science, or equivalent practical experience.
  • •5+ years of experience in electronics manufacturing operations, outsourced manufacturing, supply chain, or related fields.
  • •Strong knowledge of hardware manufacturing processes, product assembly flows, and outsourced manufacturing operations.
  • •Experience with Shop Floor Control Systems (SFCS), Manufacturing Execution Systems (MES), Engineering Change Order (ECO), Product Lifecycle Management (PLM), product configuration management, and BOM structures.
  • •Basic to intermediate SQL skills for manufacturing data queries, validation, troubleshooting, and analysis.
Experience:Electronics manufacturingOutsourced manufacturingSupply chainManufacturing operations
Skills:AnalyticalProblem-solvingCommunicationCross-functional collaborationDetail-oriented
Tech Stack:SQLTableauPower BIPythonJavaAWSAzureShop Floor Control Systems (SFCS)Manufacturing Execution Systems (MES)Engineering Change Order (ECO)Product Lifecycle Management (PLM)BOMData pipeline

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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