About the Role
The role involves developing analytical solutions to improve supply chain efficiency, forecasting accuracy, and inventory management using data-driven insights.
Responsibilities
- Design and implement data models to support supply chain processes
- Analyze supply chain performance metrics to identify improvement opportunities
- Collaborate with cross-functional teams to define key business questions
- Develop dashboards and reporting tools for operational monitoring
- Translate business requirements into analytical frameworks
- Conduct root cause analysis on supply chain disruptions
- Optimize inventory levels using statistical methods
- Support demand forecasting initiatives with data validation
- Integrate data from multiple sources for comprehensive analysis
- Ensure data quality and consistency across systems
- Present findings to stakeholders with actionable recommendations
- Lead ad hoc analytical projects related to logistics and distribution
- Evaluate impact of supply chain initiatives post-implementation
- Maintain documentation for analytical processes and models
- Stay current with industry trends in supply chain analytics
Nice to Have
- Master’s degree in operations research, data science, or related field
- Experience with cloud-based data platforms such as Azure or AWS
- Background in retail or consumer goods industry
- Knowledge of machine learning applications in supply chain
- Experience with optimization tools or linear programming
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model available
Team
Part of the digital transformation team focused on supply chain optimization
Why this role matters
Your work will directly influence how products move from suppliers to customers, ensuring availability while minimizing waste and cost.
What we offer
Opportunities for professional growth, flexible working conditions, and involvement in high-impact projects shaping the future of retail logistics.
Visa sponsorship available for qualified candidates
