Kelly Science, Engineering, Technology & Telecom

Business Data Analyst (Supply Chain)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst (Supply Chain) in Irvine, CA, for 6 to 12 months. Key skills include SQL, PowerBI, advanced Excel, and ERP systems. Requires 4+ years of supply chain analytics experience. Pay rate is negotiable.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 14, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irvine, CA
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🧠 - Skills detailed
#Data Analysis #SQL (Structured Query Language) #Oracle #Business Analysis #SAP #Synapse #Data Integrity
Role description
Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com Job Title: Sr. Business Analyst Location: Irvine, CA, 92618 Duration: 6 to 12 months Type: Contract W2 Pay rate: Open for discussion REPORTS TO – Manager – Supply Planning JOB SUMMARY: • Create and maintain Supply Chain measurable KPI supporting Demand Plan, Supply Plan, Inventory Health, Revenue, etc. in PowerBI. • Coding in SQL to create and clean data in Synapse, maintain data integrity, accuracy and publish in PowerBI for team's visibility. • Build PowerPoint presentation to support IBP (Integrated Business Planning) meeting to demonstrate the relation between demand and supply plan. • Create process map and standard procedure related to Supply Chain function. • Understand ERP system logic for Demand/Supply related module, and able to pull the right data source to create report/dashboard. • Quick learner, self-sufficient, ability to simplify complex data and communicate effectively. Knowledge background requirements: • Minimum 4 years experience in analytic software below. • SQL data coding and analytics skill • Advance Excel • PowerBI • PowerPoint Presentation • ERP system (NetSuite, SAP, Oracle) • Supply Chain knowledge, manufacturing, supply planning, demand planning.