What are the responsibilities and job description for the Logistics And Distribution Analyst position at Qemetica?
Qemetica is a global leader in manufacturing chemical products with a strong presence in international markets. As the second-largest producer of sodium carbonate and bicarbonate in the European Union and a key player in various industries such as construction, automotive, and pharmaceuticals, the company plays a vital role in the global economy. Employing 3,500 people across Poland, Germany, and Romania, Qemetica emphasizes sustainable development and is a proud member of the United Nations Global Compact since 2020. Committed to innovation and operational excellence, Qemetica offers a dynamic work environment for professionals eager to make an impact and grow within an evolving organization.
We are seeking a dedicated Logistics and Distribution Analyst for a full-time, on-site role located in Barberton, OH. The analyst will be responsible for monitoring and optimizing logistics operations to ensure efficient distribution and supply chain processes. Key responsibilities include analyzing data, preparing reports, providing recommendations to improve efficiency, coordinating with internal and external stakeholders, and ensuring compliance with company standards and regulatory requirements. The successful candidate will collaborate closely with various teams to enhance operational performance and reduce costs.
- Proficiency in data analysis, reporting, and interpreting logistics and supply chain metrics
- Strong organizational and project management capabilities
- Excellent problem-solving and critical thinking skills
- Experience with logistics management tools and software
- Effective communication and collaboration abilities
- Working knowledge of industry regulations and compliance standards
- Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or related field
- Previous experience in logistics, distribution, or supply chain analysis roles is preferred
- Proficiency in using data visualization tools would be advantageous