Key Responsibility :

• Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity
• Apply deep knowledge of trend, financial data, process standard and translate into actionable insight
• Plan and develop report / presentation to support project for trial and roll out
• Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
• Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
• Track/create business metrics & Key Performance Indicators (KPIs) dashboard
• Support initiatives for data integrity and create best practice reports based on data mining, analysis and visualization
• Train end users on new reports and dashboards to continually drive efficiencies
• Ability to present information to stakeholders and provide initial consultation / solution

Qualifications :

• 2-5 years+ working experience in Data Analytics, Process Improvement
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.)
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Six Sigma Green Belt certification preferred.

By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.