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133
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Posted in

Consulting

Job Code

1737177

Data Analyst - Supply Chain

ProPhecy Technologies.3 - 7 yrs.Kolkata
Posted 2 days ago
Posted 2 days ago

Role Overview:

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 the 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.

- Masters 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).

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Job Views:  
133
Applications:  40
Recruiter Actions:  0

Posted in

Consulting

Job Code

1737177

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