Position Summary The Data Analysts plays a pivotal role in applying advanced analytical, statistical, and optimization techniques for decision-making across the Staples Supply Chain. This role is central to driving the next generation of supply chain analytics supporting the integration of traditional data science with emerging AI-driven automation and decision intelligence capabilities. The individual will help accelerate Staples' evolution toward a highly intelligent, scalable, and agent-enabled analytics ecosystem, unlocking greater efficiency, agility, and business value.
Key Responsibilities
- Participate and contribute to core supply chain functions such as Inventory planning, Network and Capacity planning, Transportation optimization, Labor Planning, as well as Warehouse operations
- Build predictive and prescriptive models using structured and unstructured data to drive visibility and improvement in operational performance
- Collaborate closely with planning and operations focused stakeholders to drive actionable insights
- Create and monitor supply chain metrics to drive optimization of the Staples Supply Chain and improvement in performance
- Develop dashboards and automated reports using BI tools
- Design and develop AI-powered agents and LLM-based workflows
Qualifications
- Bachelors' degree in a quantitative field such as Operations Research, Computer Science, Statistics, Engineering or any other highly quantitative discipline.
- Around 3+ years' experience in the Supply Chain Logistics domain is highly desirable
- Master's degree is preferred
Technical Skills
- Fluent in programming languages: Python and SQL (highly desirable)
- Data visualization tools: Power BI, Tableau or equivalent
- Cloud and data platforms: Snowflake, SQL server or similar
- Familiarity with other statistical and scripting languages
- Familiarity with cloud ecosystems (Azure preferred, AWS/GCP acceptable)
- Familiarity with Machine learning, statistical modeling and optimization libraries
- Experience or exposure to LLMs and Generative AI (Azure OpenAI, LangChain, etc.)