Senior ExecutiveSupply Chain Data Analytics

You should have at least 5-7 years of experience in data analysis, particularly in a supply chain or operations setting. Your proficiency in SQL and Python for data manipulation, automation, and analytics is a must. Experience with data transformation tools like Alteryx or similar ETL platforms is required, as well as hands-on experience with data visualization tools such as Power BI or Tableau. Proficiency in Excel, including advanced formulas and VBA scripting for automation, is also necessary. It would be beneficial if you are familiar with supply chain concepts like sourcing, inventory, transportation, and capacity planning. Previous experience working with large datasets from ERP systems like SAP and integrating data from various sources is highly valued. You should possess a strong analytical mindset with keen attention to detail and a passion for solving complex problems using data. Excellent communication skills are essential, with the ability to present insights clearly and effectively. Exposure to supply chain network modeling tools like Llamasoft or Optilogic would be an advantage. Experience with cloud-based data platforms such as Azure, AWS, or Fabric is also considered beneficial. Knowledge of data governance and master data management principles is a plus. Ideally, you should have a minimum of 7 years of overall experience in Supply Chain, Data Analysis, or a related field.,