Global IBP Analytics Manager

Dyson; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading electronics manufacturer in Singapore is seeking an experienced professional to design and implement data visualizations and improve supply chain analysis. The ideal candidate holds a degree in Computer Science or Mathematics with at least 5 years of S&OP experience and has strong analytical skills. This position requires excellent presentation abilities and a sound understanding of global supply chain processes.

Qualifications

• Bachelor's or master's degree in Computer Science, Mathematics, or a related field with at least 5 years experience in S&OP processes.
• Minimum of 3 years of experience in data analysis, machine learning is a plus.
• Excellent personal and business presentation skills, specifically for financial information.

Responsibilities

• Design and implement data visualizations and dashboards for supply chain metrics.
• Improve maturity level of IBP data analysis in various markets and categories.
• Conduct ad-hoc analyses and prepare reports as needed.

Job description

Key accountabilities

• Design and implement data visualizations and dashboards to communicate supply chain performance metrics to stakeholders.
• Improving the maturity level of IBP data analysis in markets, regions and categories by working closely with all functions to develop better processes and content.
• A scientific and rigorous approach to solving practical problems using logical thinking.
• Extract and transform data from multiple sources to create a unified data set.
• Strong business acumen - you are someone who can quickly absorb a new domain, and recognise what problems are most valuable for our stakeholders.
• Demonstrate flexibility and resilience in response to constraints and respond constructively to new demands and challenges.
• Conduct ad-hoc analyses and prepare reports as needed
• Knowledge of global market trends, consumer behaviour, and supply chain management concepts

About you

• Bachelor's or master's degree in Computer Science, Mathematics, or a related field with at least 5 years experience in S&OP processes in fast moving consumer goods or electronics manufacturer is essential.
• Minimum of 3 years of experience in data analysis, machine learning is a plus.
• Excellent personal and business presentation skills, in particular the presentation of financial information to Senior Leadership across the organization.
• Awareness of global markets and complex supply chain planning processes.
• Strong communication skills and ability to work independently and as part of a team.
• Understanding and working knowledge of financial planning process is ideal.
• Experience in working across functions and cultures.