Supply Chain Data Analyst

Position: Data Analyst - Global Supply Chain

Pay: $35.00 – $45.00 per hour (based on experience)

Contract: 3-month contract, full-time (high potential for extension or hire)

Site: Carlsbad, CA (Hybrid – 3 days onsite, 2 days remote)

Description:

The Data Analyst – Global Supply Chain will play a key role in supporting the Manufacturing and Supply Chain teams through data-driven insights and process improvements. This role focuses on data analysis, reporting, and automation to support forecasting, planning, and performance tracking initiatives across global operations.

Key Responsibilities:

• Analyze manufacturing, logistics, and supply chain data to identify trends and process improvement opportunities.
• Develop and maintain dashboards and data visualizations using Power BI and Excel .
• Generate weekly, monthly, and ad-hoc reports to support strategic decision-making.
• Utilize SQL , Power Query , and Power Automate to streamline data collection and reporting processes.
• Collaborate with cross-functional teams across manufacturing, planning, and procurement to ensure data accuracy and consistency.
• Support supply and demand forecasting through data modeling and performance metrics tracking.
• Assist with master data management, ensuring alignment between systems such as Oracle R12 , Cognos , and other ERP tools.
• Provide recommendations to optimize operations, reduce waste, and improve delivery efficiency.

Schedule:

• Monday – Friday, 8:00 AM – 5:00 PM (Hybrid schedule; three days onsite in Carlsbad, two days remote).

Requirements:

• Bachelor’s degree in Data Analytics, Supply Chain, Business, or related field required.
• 3+ years of experience in data analytics or supply chain analytics , preferably in a manufacturing or life sciences environment.
• Proficiency in Power BI, Power Query, Excel, SQL , and Power Automate .
• Strong analytical, organizational, and problem-solving skills.
• Experience working with ERP systems such as Oracle R12 or Cognos preferred.
• Excellent communication skills with the ability to translate data insights into actionable recommendations.

Nice-to-Have Skills:

• Experience in forecasting, planning, or logistics analytics .
• Exposure to Lean Six Sigma or continuous improvement methodologies.
• Ability to manage multiple projects in a fast-paced, cross-functional environment.