Duties/Responsibilities:

• Work with business partners to understand their data needs and translate them into actionable insights and solutions.
• Work across various global time zones.
• Identify and implement process improvements and best practices to improve data quality, accuracy, and reliability.
• Will assist with implementation of improved ERP/MRP systems.
• Communicate with other departments within the organization to identify efficiency issues, develop solutions, and implement changes.
• Collaborate with cross-functional teams to identify areas of improvement in the supply chain, and develop data-driven solutions to optimize processes and drive efficiency.
• Develop and implement predictive models and algorithms to forecast demand, inventory levels, and transportation requirements.
• Analyze large datasets to identify trends, patterns, and insights that can be leveraged to improve supply chain performance.
• Create data visualizations and reports to communicate insights and recommendations to stakeholders across the organization.

Program Requirements:

• Bachelor’s degree in supply chain management, logistics, business management, data analytics or related fields. Supply chain management certification is preferred
• Five or more years’ experience in data science, supply chain analytics or related field
• Experience analyzing business improvement
• Excellent mathematical and analytical skill
• Project management
• Must have strong MS Excel, MS Access, MS tool skills
• Working knowledge of data analysis and forecasting tools and ability to develop actionable insights from data
• Interpersonal skills and ability to build and improve trusting relationships
• Excellent communication and interpersonal skills.
• Excellent organizational skills and attention to detail.
• Thorough understanding of the business and supply chain.
• Strong analytical and problem-solving skills.
• Ability to troubleshoot issues of high complexity
• Ability to build key cross-functional relationship as a key data analyst support partner.