onsite
Lead, Supply Chain Analytics - Nestle
Software Engineer
Lead end‑to‑end supply chain analytics initiatives, driving data‑driven decisions across the network using Python, SQL, and advanced machine learning techniques to optimize inventory, forecasting, and logistics.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end analytics solutions for supply chain operations, leveraging Python, SQL, and machine learning models.
- Collaborate with cross‑functional teams to define KPIs, build dashboards, and deliver actionable insights that improve inventory accuracy, demand forecasting, and logistics efficiency.
- Lead data exploration, feature engineering, and model validation to support predictive analytics initiatives.
- Mentor and coach junior analysts, fostering a culture of continuous improvement and data literacy.
- Communicate findings to senior stakeholders through clear visualizations and concise executive summaries.
Requirements
- 5+ years of experience in supply chain analytics or related field.
- Proficiency in Python (pandas, scikit‑learn) and SQL for data manipulation and analysis.
- Strong background in machine learning, statistical modeling, and data visualization tools such as Tableau or Power BI.
- Excellent problem‑solving skills and ability to translate complex data into actionable business recommendations.
- Effective communication skills and experience presenting to senior leadership.
Skills
pythonsqlmachine learning