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Analyst - Supply Chain Analytics

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Hybrid

Analyst - Supply Chain Analytics

Edge Executive Search

Analyst - Supply Chain Analytics

Skills

SQL QueriesPythonData ScienceNumPypandasData AnalysisAISupply ChainPower BI

10 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Hybrid

Published on:

13 October 2026

What they need


The Job :

We are looking for a highly analytical professional to join our Supply Chain Analytics team. The role will be responsible for delivering data-driven insights across Inventory Planning, Vendor Management, Warehousing, Logistics, and Operations functions. This position requires expertise in SQL, Python, Power BI, and statistical analysis to build dashboards, generate actionable insights, and support business decision-making.

Exp : 2 to 5yrs

NP : Early joiners Only (Max 45days)

Location : Gurgaon

Key Responsibilities :

  • Analyze supply chain performance data to identify trends, patterns, and operational bottlenecks.
  • Perform root cause analysis and recommend data-driven solutions.
  • Develop, maintain, and automate dashboards, reports, and executive presentations.
  • Write complex SQL queries to extract, manipulate, and validate large datasets.
  • Utilize Python (Pandas, NumPy, Scikit-Learn) for data analysis and statistical modeling.
  • Collaborate with cross-functional teams to ensure data accuracy and consistency.
  • Support inventory, logistics, warehousing, procurement, and vendor management analytics initiatives.
  • Manage multiple reporting and analytics projects while meeting strict timelines.
  • Leverage AI tools such as ChatGPT, Copilot, Gemini, or Claude to improve reporting efficiency and analytics outcomes.

Candidate Profile

  • 2+ years of experience in Analytics, Business Intelligence, Data Science, or Supply Chain Analytics.
  • Strong expertise in SQL and relational databases.
  • Hands-on experience with Python (Pandas, NumPy, Scikit-Learn).
  • Experience building dashboards and reports using Power BI.

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