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SDET Premium Automation Company

Supply Chain Operations Analyst

Reposted 3 Days Ago
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In-Office
Austin, TX
55K-80K Annually
Junior
In-Office
Austin, TX
55K-80K Annually
Junior
The Supply Chain Operations Analyst will analyze data to improve supply chain performance, build reports, support system implementations, and collaborate with cross-functional teams.
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We are looking for a Supply Chain Analyst to support the performance and continuous improvement of our end-to-end supply chain operations. This role will play a critical part in translating data into actionable insights that help leadership make faster, more informed decisions.

The ideal candidate is analytically driven, detail-oriented, and comfortable working across multiple functions to investigate issues, identify root causes, and support process optimization initiatives.

Key Responsibilities

• Analyze supply chain performance data across procurement, inventory, logistics, and fulfillment to identify trends and improvement opportunities

• Build and maintain dashboards and reports that track key supply chain KPIs

• Support the evaluation and implementation of new supply chain systems, tools, and processes

• Conduct root cause analysis on supply chain disruptions, delays, or cost variances

• Collaborate with demand planning, operations, and procurement teams to support cross-functional projects

• Prepare executive-level reporting and presentations on supply chain performance

• Maintain data integrity across ERP and supply chain management platforms

Requirements

• Bachelor's degree in Supply Chain, Operations, Industrial Engineering, or a related field

• 2+ years of experience in supply chain analysis, operations, or a related analytical role

• Advanced proficiency in Microsoft Excel; experience with SQL or data visualization tools (Tableau, Power BI) strongly preferred

• Hands-on experience with ERP systems such as SAP or Oracle

• Strong problem-solving skills and attention to detail

Preferred Qualifications

• APICS CPIM or CSCP certification (or in progress)

• Experience with supply chain analytics platforms or Python/R for data analysis

• Background in manufacturing, retail, or consumer goods supply chains

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