Sales Operations Specialist
Lesaffre
| Company | Lesaffre |
| Category | Sales |
| Location | Shanghai |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 6 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Data Integration, Analysis, and Visualization
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• Data Consolidation: Integrate, maintain and synthesize data from multiple sources to form a comprehensive database.
• Analytical Expertise: Apply advanced analytical techniques to uncover trends, patterns, and insights that can inform business strategy.
• Reporting and Visualization : Make compelling reports and visualizations that clearly articulate insights and drive strategic discussions.
• Insight Translation and Communication: Specialize in transforming complex data into clear, actionable insights, effectively conveying these to management and key departments to streamline the decision-making process .
• Activities Effectiveness : Work closely with BG&S to measure the effectiveness of market and sales activities, ensuring strategic initiatives deliver tangible results.
• Monthly Sales Report Support : Provide ongoing support for the preparation and enhancement of monthly sales reports, ensuring accuracy, timeliness, and actionable insights for sales performance tracking.
Sales Performance Management
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• Sales KPI Framework: Support and recommend sales team KPI framework that aligns with sales objectives and growth targets. Utilize CRM data to develop monthly behavioral assessment indicators for the sales team.
• Performance Evaluation: Evaluate sales performance against KPIs, providing regular feedback and improvement suggestions.
• Budget Allocation: Allocate sales team budget to maximize the potential and operational efficiency.
Cross-Departmental Collaboration and Data Support
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• Custom Data Solutions: Collaborate with various departments to provide tailored data support that meets their specific needs.
• Training and Education: Conduct training sessions to enhance data literacy and empower departments with self-service data tools. Share data knowledge and best practices.
• Data Accessibility: Implement processes that make data readily accessible and understood, enabling stakeholders to make timely and effective decisions.