Data Analyst - Supply Chain
First seen by Alion on Sep 30, 2026.
Position Summary :
The Data Analyst 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.).
Skills
Python, SQL, Power BI, Tableau, Data Analyst, Data Analytics, Cloud, Snowflake DB, Business Intelligence, Dashboard Design, LLM