- Analyze data across supply chain to identify trends, bottlenecks, and opportunities for process improvements.
- Identify supply chain performance gaps through data analysis, proactively engage with relevant stakeholders to understand root causes, and lead cross-functional efforts to develop and implement cutting-edge solutions.
- Develop and maintain real-time dashboards, data objects, and reports that track key supply chain metrics.
- Collaborate closely with cross-functional teams to align analytics outputs with business needs.
- Communicate complex data insights clearly and effectively to stakeholders at all levels, enabling data-driven decision-making.
- Assist in the deployment and continuous improvement of supply chain analytics tools and technologies.
Requirements
- Bachelor’s degree in Supply Chain Management, Business Analytics, Data Science, Industrial Engineering, or a related field.
- Experience in supply chain analytics or data analysis, preferably within the food or pet food industry.
- Proficiency with data analysis tools such as Excel, SQL, Python.
- Ability to translate complex data into actionable insights.
- Experience with data visualization platforms (preferably Power BI).
- Strong analytical mindset with excellent problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills to work effectively across teams.
- Experience with advanced analytics techniques such as machine learning or predictive modeling preferred.
- Experience in Generative AI development preferred.
- Familiarity with Databricks preferred.
- Understanding of E2E supply chain processes preferred.
Core Competencies
Demonstrates expertise in supply chain analytics, data analysis, and the development of real-time dashboards to drive data-driven decision-making. Proficient in translating complex data insights into actionable strategies while collaborating effectively with cross-functional teams.