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Responsible for maintaining assigned clients, signing contracts, achieving business targets, developing leads, quoting and tracking elevator maintenance/repair services, collecting due payments, and completing tasks assigned by supervisors.

负责区域内MOD战略客户的框架协议，运用销售管理工具制定销售目标及行动计划，合作推动电梯销售机会，与总部反馈市场信息，支持销售谈判，审阅合同，协助排产与收款。

The Manufacturing Controller will perform financial analysis, manage financial aspects of key projects, support budgeting, and collaborate on production impact analyses, using systems like SAP and Excel.

The Associate Sales Representative, Spares supports the sales team by managing communications, creating quotations, and ensuring accuracy in proposals. This role aids customer interactions and contributes to sales efficiency.

The Doors Engineer will focus on safety, precision, and customer service, working with industrial and automatic doors, and will be provided with training. They will also participate in a call-out rota and contribute to a collaborative work culture.

Responsible for providing technical expertise in KONE products for customer projects, overseeing engineering work, and ensuring compliance with specifications and standards.

In this role, the Sales Consultant will build and maintain customer relationships, identify complex technology solutions, and support sustainable growth.

The Senior Manager, Marketing Business Partner will drive KONE's strategy by shaping marketing direction and aligning business objectives with customer needs, fostering collaboration across teams, and steering initiatives to ensure the company's leadership position in the industry.

The Logistics Specialist will manage spare parts inquiries, confirm and process orders, provide documentation, and communicate delivery deviations while collaborating with Frontline teams.

The Finance Data Architect will design and optimize data architecture for finance data products on the Databricks platform, ensuring effective data management and enhancing business value generation. Responsibilities include analyzing data requirements, developing data products, mentoring teams, and improving data processes.