• Core RR Authoring and Analytics: Demonstrate good knowledge and hands-on experience with core RR authoring and analytics.
• Data Model and Workbook Authoring: Work with data models, author workbooks, and manage automation and scheduled tasks.
• Analytical Knowledge: Have a strong understanding of RR analytics (Netting, CTP, FLP, etc.) and any one of core planning capabilities like attribute-based planning in RR.
• Testing and Documentation: Write test cases, perform unit testing, capture test results, and document them thoroughly.
• Technical skills such as SQL, R, Java Script, Python, etc.
• Support UAT and Hypercare: Provide support during User Acceptance Testing (UAT) and Hypercare phases.
• Agile Practices: Follow agile methodologies in project delivery.
• Coding Best Practices: Adhere to best coding practices, including authoring notes and comments.
• Team Support: Assist in hiring, training, and mentoring new team members.
• Continuous Learning: Stay updated on the latest changes in RR tools related to authoring and analytics.
• Domain Knowledge: Possess basic domain knowledge of demand planning, supply planning, inventory planning, and capacity planning with constraints and yields.
• System Integration: Have knowledge of system integration to connect with other enterprise or stand-alone systems (interfaces, connections, imports, exports).
• Analytical Knowledge: Have a strong understanding of RR analytics (Netting, CTP, FLP, etc.) and attribute-based planning in RR.