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Mission of the Role: The Procurement Data & Insights Sr. Manager is pivotal in leveraging data analytics to optimize procurement processes, reduce costs, and enhance decision-making efficiency. This role involves collecting, cleaning, analyzing, and visualizing procurement data to provide actionable insights and strategic recommendations. Within defined limits and aligned with organizational objectives, the Sr. manager ensures data-driven strategies that improve procurement outcomes. Responsibilities: ? Data Processing & Analysis: Proficient in data analysis tools (Python, PowerBI) for data cleaning, transformation, and analysis. ? Data Visualization: Creates clear, intuitive dashboards and reports to aid decision-making. ? Procurement Process Knowledge: Understands procurement workflows and key metrics (total cost of procurement, supplier performance, risk & compliance). ? Data Modeling: Builds predictive and optimization models to support procurement strategies. ? Data Governance: Adheres to data governance principles to ensure data quality and compliance. Requirement: 1. Education: Bachelor’s degree or higher in Data Analytics, Statistics, Computer Science, Supply Chain Management, or related fields. 2. Experience: ? Minimum 5-8 years in data analysis or procurement-related roles. ? Experience in procurement data analysis or supply chain optimization is advantageous. ? Familiarity with procurement KPIs and data-driven decision-making is preferred. ? Work experience in consulting firms is preferred. 3. Specific Knowledge ? Procurement metrics and KPIs (e.g., total cost of procurement, supplier performance, risk & compliance, etc.). ? Data governance and quality management principles. ? Data analysis tools (Python, PowerBI). ? Data modeling and predictive analysis methodologies. ? Process optimization. ? Presentation skills in PowerPoint. 4. General skills ? Communication: Ability to explain complex analytical results to non-technical team members. ? Teamwork: Collaborates effectively with cross-departmental teams to drive project implementation. ? Problem-solving: Identifies issues in data and processes and proposes solutions. ? Project Management: Manages multiple projects to ensure timely delivery of high-quality outcomes. ? Adaptability: Quickly learn new technologies and tools to adapt to evolving business needs. ? Thrives in high-pressure, fast-paced environments while maintaining productivity. Adapts swiftly to shifting priorities and dynamic challenges.