Supply Chain Advanced Analytics Data Scientist

Responsibilities

• Leverage advanced analytics and visualization tools (Power BI, Celonis) to translate complex data into actionable supply chain insights
• Lead the development and deployment of analytical models to enable data‑driven decision making across the end‑to‑end supply chain
• Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models
• Partner cross‑functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI

• Bachelor's degree in Supply Chain, Data Science, Data Analytics, Applied Mathematics, Engineering or related field
• 5+ years of business experience, including 5+ years working experience in data science, analytics and/or data modeling
• Advanced analytics, data visualization, and reporting dashboard design and development experience
• Strong technical/analytic skills and experience in multiple platforms such as Excel, SAP/S4, Data Warehouse reporting, Celonis, Power BI, Power Platform, HANA VDMs, Snowflake
• 3+ years of experience using various programming languages (R, Python etc.) to develop and apply advanced cognitive or machine learning methods and algorithms to address Supply Chain and Business problems.

Demonstrates expertise in advanced analytics and data visualization, utilizing tools like Power BI and SQL to drive supply chain insights and decision‑making. Proficient in developing analytical models and metrics to optimize supply chain performance.