Senior Supply Chain Analyst

Summary: A Senior Supply Chain Analyst analyzes data and methods to predict and improve a company’s delivery of products and services to its customers. An organization’s supply chain needs to run smoothly and efficiently to ensure a profit, making the supply chain analyst an essential role. Analysts use data to support recommendations for optimizing the methods within the company in terms of production, supplies, and transportation. Main Responsibilities: Data management - Lead and participate in data remediation activities to close gaps between defined data definitions and existing data, resolving identified inconsistencies - Establish and execute data management governance processes pertaining to supply chain operations attributes to ensure data integrity / clean master data - Maintenance and update systems master data attribute for Supply Chain Operations, including planning, procurement, and warehousing network. Reporting and analysis - Analyze, develop, and implement reporting and KPI for Supply Chain Operations, including planning, procurement, warehousing network, and inventory management - Prepare/ design monthly/ quarterly/ ad-hoc reports and Supply Chain Management Dashboard. - Conduct advanced analysis to interpret high impact business needs and translate them into comprehensible recommendations and system requirements - Identify trends and patterns, interpret data with clear objectives, and implement the best practices in supply chain management. - Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests Collaboration with other teams/departments - Be a trusted partner and peer to our Supply Chain leaders to partner back with the core internal stakeholders/teams to deliver recommendations that address business and process improvements - Collaborate with cross-functional teams to collect data and coordinate supply chain activities. - Develop and execute projects to enhance supply chain operations including evaluating approaches, processes, tools, and technology.

1. Education: Bachelor’s degree in supply chain management, Business Administration, or a related field. 2.Professional knowledge of: - Understanding supply chain principles, including inventory management, demand planning, and logistics. - Proficiency with data mining, mathematics, statistical analysis, forecast analyst skills, and strong business acumen. - Advanced experience in pattern recognition and predictive modeling. - Self-motivated individual capable of working independently as well as a strong team player collaborating with cross-functional teams; build relationships at all levels within the internal organization and external parties. - Experience with advanced Excel; able to build data modeling and dashboards and analyze large data sets using different data analysis tools (e.g. Power BI, Knowing Python is an advantage). 3. Knowledge of computer servicing: Microsoft Office 4. Knowledge of foreign languages: Fluent English language skills. 5. Other (e.g. competences): - Self-awareness and self-discipline. - Self-planning and self-organizing. - Strong in logical mindset. - Strong oral and written communication skills. 6. Professional experience: At least 3 years of experience in supply chain management, data analytics, or a related field.