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Job description

Key Accountabilities Analytics & Modeling: • Understand business objectives Analyze supply chain challenges, define scope, and set success criteria. • Data feasibility assessment – Evaluate completeness, availability, and accuracy of supply chain data. • Data processing & cleansing – Handle missing data, outliers, and inconsistencies to ensure data integrity. • Exploratory analysis – Conduct exploratory data analysis (EDA) to uncover trends and root causes. • Develop & implement data science models – Apply descriptive, diagnostic, predictive and prescriptive analysis through statistical, optimization, or machine learning techniques to solve key supply chain problems. • Scenario planning & sensitivity analysis – Perform "What-If" analysis to evaluate business impact under different scenarios. • Independent problem-solver – Effectively executes tasks with minimal supervision while ensuring high productivity. • Manages moderately complex projects – Handles challenging but structured analytical problems, ensuring timely and impactful solutions. Process Improvement: • Enhance modeling efficiency – Drive process automation, identify opportunities to automate workflows and eliminate redundant tasks • Mentorship & validation – Guides analysts, reviews their work, and ensures analytical rigor in deliverables. Minimum Qualifications • Bachelor’s degree from accredited university (Full Time) in Business Analytics or a related subject area • +3 years of related experience in Supply chain analytics • Strong analytic ability to translate business ask into mathematical model and ability to think “out of the box” & strong analytical skills. • Proficiency in Excel and PowerPoint, leveraging advanced functions for data analysis, visualization, and effective business storytelling Preferred Qualifications • Post graduation in Industrial Engineering, statistics or Supply Chain operations • Professional Certifications for supply chain and Data science • Learning Agility – driven by curiosity and a passion for continuous learning, always seeking to understand the "why" behind concepts

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