TechMatrix Inc

Supply Chain Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Supply Chain Data Analyst in Newark, CA, on a hybrid basis. Contract length and pay rate are unspecified. Key skills include Tableau, SQL, Python, advanced Excel, and ERP experience (e.g., SAP). Industry experience in supply chain and data analytics is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
November 22, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newark, CA
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🧠 - Skills detailed
#Data Management #Datasets #Python #SAP #SQL (Structured Query Language) #Data Analysis #Tableau #"ETL (Extract #Transform #Load)" #MDM (Master Data Management)
Role description
Supply Chain Data Analyst HYBRID in Newark, CA Person needs to excel at business processing and data analytics Best is educated around supply chain and data anlalytics. Has a few years of industry experience and understand relationship of business process, master data, analytics 1. Tableau, SQL Python 1. Advanced Excel 1. ERP related experience (like SAP) • Overtime (busy times, etc.) – OT not required but maybe necessary very rare Job Description • Process building & optimization: Spearhead the development and refinement of supply chain processes in collaboration with cross-functional teams, from business units to engineering departments. Ensure the integrity and reliability of data throughout these processes, applying best practices to achieve system-wide efficiency and effectiveness. • Master data management: Oversee the comprehensive lifecycle of supply chain master data, from initial collection and transformation to cleaning and ongoing maintenance. Utilize advanced tools and methodologies to ensure the accuracy and usability of data, serving as the foundation for analytics and system functionalities. • Data analytics: Employ sophisticated analytical tools and techniques to extract, analyze, and interpret supply chain data. Generate both descriptive and predictive insights, translating complex datasets into actionable strategies for stakeholders at various organizational levels.