Supply Chain Analyst 4 (N)

Summary

A Supply Chain Analyst is responsible for optimizing the company's supply chain by analyzing data

to improve efficiency and reduce costs. They manage data integrity, track trends, forecast risks, and

provide intelligence to site operations to ensure timely delivery of products to customers at the

optimal price. Key skills emphasized include data analysis, problem-solving, critical thinking, and

proficiency in relevant software such as Oracle and other business systems.

Detailed Description

Performs tasks such as, but not limited to, the following:

 Data analysis and reporting: Collect and analyze historical data to create reports, identify

trends, and measure performance against key metrics.

 Date integrity management: Monitor Date integrity, Analise information, detect

inconsistencies and report in a simplified format.

 Cost reduction: Identify savings opportunities, monitoring trends with suppliers, and optimize

purchasing process.

 Demand forecasting: Predict future demand and abnormal supplier performance to ensure

the right quantity of products is available where and when it is needed.

 Problem-solving: Troubleshoot issues, identify bottlenecks, and identified areas of improve

the supply chain's to efficiency and resilience.

 Cross-functional collaboration: Act as a liaison between departments like procurement,

logistics, sales, and marketing to ensure alignment and smooth operations.

Knowledge/Skills/Competencies

 Extensive ability to utilize computer systems and applications in order to gather require

information, and compile information into a customer presentable format.

 Applies analysis and judgement to assess performance against key measures and determine

priorities.

 Demonstrated ability to interface cross functionally in order to gather required customer

information.

 MRP system knowledge.

 Experience in the manufacturing industry.

 Demonstrates data analysis knowledge.

 Advanced Excel.

 Advanced English.

 Strong organizational and time management skills.

 Ability to work with mathematical concepts such as probability and statistical inference.

 Experience with Databases such as Kinaxis is a plus.

 Technical: Proficiency with business systems (ERP, MRP), data analysis tools (Excel, SQL,

Tableau), and supply chain software (Oracle).

 Analytical: Critical thinking, problem-solving, and the ability to draw actionable insights from

data.