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Career Advancement Programme in Data-driven Supplier Relationship Management
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- Data-Driven Supplier Relationship Management Fundamentals
- Advanced Analytics for SRM: Predictive Modeling and Forecasting
- Sourcing and Procurement Strategies in a Data-Driven Environment
- Supplier Performance Management & KPI Dashboards
- Risk Management and Mitigation in Supplier Relationships
- Big Data and Business Intelligence for SRM
- Contract Management and Negotiation using Data Analytics
- Implementing and Managing a Data-Driven SRM System
- Data Visualization and Communication for Effective SRM
- Strategic Supplier Collaboration and Relationship Building
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Career Role (Data-Driven Supplier Relationship Management) Description Senior Data Analyst, SRM Develops and implements data-driven strategies to optimize supplier relationships, leveraging advanced analytics for cost reduction and performance improvement.
Requires expertise in SQL, Python, and visualization tools.
Supplier Relationship Manager, Analytics Focus Manages key supplier relationships, utilizing data analytics to identify areas for collaboration, innovation, and risk mitigation.
Strong communication and negotiation skills are essential.
Data Scientist, Procurement & Supply Chain Applies machine learning and statistical modeling to predict supplier performance, optimize procurement processes, and enhance supply chain visibility.
Experience with predictive modeling is highly valued.
Business Intelligence Analyst, SRM Analyzes large datasets to identify trends and insights related to supplier performance, contract compliance, and risk management, providing actionable recommendations to stakeholders.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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