Associate Sales Excellence Engineer

The purpose of the job is optimizing dashboards and KPI tracking in the Sales function by rolling out digital solutions. Maintains and improves internal digital solutions, there also will be a clear focus on CRM and customer-related data:

• Collect and align data with several checks on Sales tools to identify GEA market share and market trends

• Provide data analysis to support management reporting and decision making.

• Support sales teams generating regular reports on Sales activities, including dashboards to track key performance indicators (KPIs)

• Track the progress of sales proposals and ensure alignment within Sales tools.

• Continuously improve CRM systems to enhance order intake forecasting and customer relationship processes.

• Support implementation of solutions based on the Microsoft Power Platform (Power Automate, Power Apps, Power BI, SharePoint, SharePoint Online, …) and SAP C4C.

• Support the sales team to develop and prepare customer-specific offers and proposals.

• Manage correspondence to customers and Front Line Sales staff worldwide

• Translate various sales documents and technical reports.

• Organise customer visits

• Draft contracts in alignment with GEA rules (legal templates, etc.)

• Follow up post-contract correspondence in co-operation with the Project Management Department

• Digital filing of correspondence

• Process sales orders in the ERP system, with relevant tracking and filing

• Technical or commercial bachelor degree with proven background. 
• Excellent knowledge of English, second language French or Spanish of good level will be considered a plus.
• Advanced experience in CRM Systems (ideally SAP C4C)
• Prior experience of at least 5 years in the role in engineering companies with technical background;
• Excellent knowledge of Office Package and Outlook, proficiency in Microsoft Excel, experience with CRM and data visualization tools (e.g., Power BI,).
• SAP platform knowledge (preferred)
• Understanding of integrated processes, specifically in an industrial machine engineering and manufacturing environment.
• A proactive, analytical mindset and strong communication skills. 
• Excellent communication and collaboration skills.
• Data analysis expert
• Ability to manage multiple tasks.