We are seeking a Sr. Analyst, Materials Planning, SIOP to join our team. The successful candidate will be responsible for developing and implementing materials planning strategies, utilizing advanced analytics and machine learning techniques. The ideal candidate will have experience with Python programming, AWS cloud infrastructure, and SIOP (Sales and Operations Planning) methodologies. This role will play a key part in driving business growth and improving operational efficiency.
Key Responsibilities
- Develop and implement materials planning strategies to optimize inventory levels and reduce costs.
- Utilize machine learning techniques to analyze sales and production data, identifying trends and opportunities for improvement.
- Collaborate with cross-functional teams to implement SIOP methodologies and drive business growth.
- Design and develop reports and dashboards to provide insights and visibility into materials planning and SIOP performance.
- Develop and maintain relationships with suppliers and internal stakeholders to ensure seamless execution of materials planning and SIOP initiatives.
Requirements
- 5+ years of experience in materials planning, SIOP, or a related field.
- Strong understanding of Python programming and AWS cloud infrastructure.
- Experience with machine learning techniques and data analysis.
- Excellent communication and collaboration skills.
- Bachelor's degree in a related field, such as Supply Chain Management or Operations Research.