Supply Chain Analyst 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. Typical Experience  Two to four years of relevant experience. Typical Education  Bachelor's degree in related field, or consideration of an equivalent combination of education and experience.