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
Lead end-to-end initiatives including process mapping, use case identification, and project execution to drive measurable business impact and automation

Bachelors or Advanced degree in Logistics, Supply Chain, Engineering, Computer Science, Data Science 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
Knowledge of or willingness/ability to learn new analytical and automation tools
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
Exceptional communication skills, with ability to simplify complex concepts for ease of understanding
Good facilitation and presentation skills, including training delivery
Ability to mentor Data Analysts and other team members in established best practices

Data Scientist

Key skills