Data Analyst - Supply Chain Domain in Calcutta, भारत

Position Summary : The Data Analyst plays a pivotal role in applying advanced analytical, statistical, and optimization techniques for decision-making across the Staples Supply https://jobeax.com/link/Vv80GQa31PCLTOB4 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 https://jobeax.com/link/U4RNKsn6VBUKUhWj individual will help accelerate Staples' evolution toward a highly intelligent, scalable, and agent-enabled analytics ecosystem, unlocking greater efficiency, agility, and business https://jobeax.com/link/pHyn6vZ1PO7WNzVz 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 https://jobeax.com/link/bE85HHwvBkdqC3jt : - 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 https://jobeax.com/link/3AaznKWzAje8UD7o 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.). (ref:hirist.tech)