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Division Manager – Total Rewards Strategy (Retails Business TH&MY)

สถานที่
อาคารธาราพัฒนาการ (แม็คโครสำนักงานใหญ่)
สายงาน
Human Resource

หน้าที่และความรับผิดชอบ

  • Accountable for all ‘Pay’ aspects for both Lotus’s Thailand and Malaysia such as Annual Pay Increase, Market Survey, Pay Structure, Allowance, Bonus, Incentives, and others pay related.

  • Accountable for all ‘Benefits’ aspects for both Lotus’s Thailand and Malaysia such as Company car/gasoline, mobile phone, traveling policy and others benefits related.

  • Analyze and develops reward roadmap that support our core purpose for both Lotus’s Thailand and Malaysia.

  • Executes reward activities in line with approved reward roadmap within an agreed timeline and develops communication tools to support People Manager during the roll out period.

  • Analyze market data to ensures that we have competitive pay and benefits for HO, Store and DC.

  • Takes full ownership in delivering an end-to-end incentive scheme / short-term bonus / long- term bonus.

  • Analyze and develop reward scheme proposal for new business model or as business needed.

  • Collaborates with Finance and Accounting Team to ensure accurate forecasting and budgeting for new reward initiatives.

  • Ensures that we have Compensation & Benefits survey and comprehensive market analysis available all time for Head Office, Store and Distribution Centre.

  • Provides consultation to People Manager in HO, Store and DC on Rewards agendas.

  • Develop and executes Colleague Advocacy program (Staff My Lotus’s, Own brand discount coupon) within an agreed timeline and ensure that we have smooth implementation and communication plan.

  • Develops ‘Recognition program’ that support our core purpose and business priorities.

  • Executes Recognition program within an agreed timeline and ensure that we have smooth implementation and communication plan.

คุณสมบัติพื้นฐาน

  • Master's degree is preferable.

  • 6 – 8 years of experience in Reward Strategy.

  • Proficiency in Excel is absolutely a must.

  • Good command of written and spoken English.

  • Good data analytical skills.

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