Analyst Operations Excellence, Contract Logistics/SCM

• The keeper of all Key performance Indicators or KPIs, scorecard reporting related to the assigned Operations.
• Understand the objective of each parameters, definition, target, calculation, frequency, source, retrieval method.
• Streamline and further automate better method of retrieval to shorten the preparation time.
• Work with internal IT and customer on changes, improvement, clarification of existing and new parameters.
• Highlight issues of failing Key performance Indicators (KPIs) and trigger correction action with relevant function.
• Construct value stream mapping and analyse data trends to identify improvement areas and follow through to implementation.
• Initiate digitalization opportunities through designing, developing and implementing applications and platforms.

Requirements:

• Proficient in Microsoft Office Suite (e.g. Excel, Powerpoint, Access, VBA) and Analytical tools (e.g. R-programming, Python)
• Good in using and creating operations dashboards to identify focus areas and drive improvement (e.g. Power BI, Tableau)
• Good knowledge in lean six sigma methodology, process mapping and value stream mapping to identify improvement areas.
• Good knowledge in latest automation technologies and implementation. (e.g. RPA, AI, Machine Learning)
• Strong presentation skills and able to articulate, communicate and present to multiple stakeholders.
• Strong problem-solving skills and experience in resolving problems creatively and innovatively.
• Frequently voice out opinions and share best practices to improve team performance.
• At least a Bachelors Degree holder in Supply Chain, Data Analytics and/or Statistics, preferably with at least one year of working experience.
• Lean Six Sigma and Business Analytics qualification will have added advantage.
• Prefers hands on experience in R programming, visualization tools and python.
• Positive mindset, team player and high desire for learning.
• Detail oriented, analytical and inquisitive.
• Self-starter, resourceful and innovative.
• Adaptable to fast moving working environment.

We regret that only shortlisted candidates will be notified

Interested applicants please send your updated resume to noga.lim@peopleprofilers.com

Noga Lim Wei Loong
Registration Number: R1329872
EA License Number: 10C3804
People Profilers Pte Ltd, 50 Raffles Place, #19-12, Singapore Land Tower, Singapore 048623