Master's degree in operations research or related field
1 year experience in supply chain planning solutions
Proficiency in r, sas, cplex, sql, mdx, t-sql
The role involves transforming the future of enterprise planning by integrating siloed capabilities and leveraging an AI-first approach to capture billions in value leakage
Job Summary
The role involves transforming the future of enterprise planning by integrating siloed capabilities and leveraging an AI-first approach to capture billions in value leakage.
Candidates will work end-to-end on solution design, configuration, and implementation while utilizing mathematical models and optimization algorithms to analyze large enterprise data.
The position requires significant travel (50%) and collaboration with cross-functional teams to deliver large-scale supply chain planning solutions using agile methodologies.
Matching Summary
The role involves transforming the future of enterprise planning by integrating siloed capabilities and leveraging an AI-first approach to capture billions in value leakage.
Skills & Requirements
Must-have
Master's degree in Operations Research or related field
1 year experience in supply chain planning solutions
Proficiency in R, SAS, CPLEX, SQL, MDX, T-SQL
Experience with ETL processes and data integration
Ability to design technical specifications for o9 platform
50% domestic or international travel required
Nice-to-have
Mentoring junior analysts and team members
Agile methodology experience for large scale implementations
Strong communication skills with global stakeholders
Experience creating user training materials
Knowledge of Microsoft Office suite and Google Workspace
Key Requirements
Master's degree in Operations Research, Industrial Engineering, or Supply Chain Management
One year of experience implementing supply chain planning solutions
Required proficiency in statistical tools like R, SAS, and CPLEX
Required database skills including SQL Server, MySQL, SQL, MDX, and T-SQL
Must be available for 50% domestic or international travel