
Senior Executive–Supply Chain Data Analytics
7 days ago
Experience requirement:
- Must Have's
- 5–7 years of experience in data analysis, preferably within a supply chain or operations environment.
- Strong proficiency in SQL and Python for data manipulation, automation, and analytics.
- Experience with data transformation tools such as Alteryx or similar ETL platforms.
- Hands-on experience with data visualization tools like Power BI or Tableau.
- Proficiency in Excel, including advanced formulas and VBA scripting for automation.
- Familiarity with supply chain concepts such as sourcing, inventory, transportation, and capacity planning.
- Experience working with large datasets from ERP systems (e.g., SAP) and integrating data from multiple sources.
- Strong analytical mindset with attention to detail and a passion for solving complex problems with data.
- Excellent communication skills with the ability to present insights clearly and effectively.
- Added Advantage
- Exposure to supply chain network modeling tools (e.g., Llamasoft, Optilogic) is a plus.
- Experience with cloud-based data platforms (e.g., Azure, AWS, Fabric) is an advantage.
- Knowledge of data governance and master data management principles.
- Work experience
- 7+ Years of overall experience in Supply Chain/ Data Analysis and/or related field
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