Position Details
About this role
Supply Chain Advanced Data Analytics at Air Products analyzes and models supply chain data to identify inefficiencies and optimization opportunities. The role blends hands-on coding with cross-functional collaboration to deliver self-service analytics and dashboards for leadership.
Key Responsibilities
- Apply advanced analytics to supply chain data to identify inefficiencies and opportunities
- Lead transformation initiatives across liquids and packaged gases supply chains
- Perform hands-on coding in Python for data manipulation, simulation, ML, and automation
- Partner with Product Management to create self-service solutions for model adoption
- Collaborate with cross-functional teams to develop dashboards and KPIs
Technical Overview
Stack includes Python data manipulation and ML, SQL data querying, and dashboards using QlikSense and Power BI; requires statistical tooling (Minitab, SPSS) and strong communication for cross-regional impact.
Ideal Candidate
The ideal candidate is a mid-level data analytics professional with 2+ years in analytics or ML roles, strong skills in Python, SQL, and data visualization tools (Power BI, QlikSense), and a master's degree in a quantitative field. They can translate complex data into actionable insights for supply chain and operations in a European energy context.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of progress in advanced analytics roles, Insufficient experience with Python/SQL or BI tools, Inability to work in hybrid Diegem/Brussels environment
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