Sales Operations Specialist at Lesaffre

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, Data Visualization, Power BI, CRM Systems, SQL, Python, Sales KPI Framework, Business Analysis, Budget Allocation, English Proficiency, Logical Reasoning, Cross-Departmental Collaboration

Industry

Food and Beverage Manufacturing

Description

Company Description As a global key player in yeasts and fermentation, Lesaffre designs, manufactures and markets innovative solutions for Baking, Food taste & pleasure, Health care and Biotechnology. Family group born in northern France in 1853, now a multi-national and a multicultural company, Lesaffre is committed to working with confidence to better nourish and protect the planet. In close collaboration with its clients and partners, Lesaffre employs 11 000 people in more than 50 countries. Lesaffre achieves a turnover of 3 billion euros. Job Description Data Integration, Analysis, and Visualization 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 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 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. Qualifications Master’s degree and above major in business, economics or related At least 3 years working experience in similar position Excel and BI tools (e.g., Power BI) and CRM systems is essential（to efficiently process large volumes of data and build intuitive sales performance dashboards and analyze key metrics such as sales funnel and conversion rates） Experience in using SQL to independently extract key business data Proficiency in applying Python or similar tools is a plus. Good spoken and written English Business acumen, teamwork spirit and positive for action Strong communication, coordination and learning skills Strong logical reasoning skills are essential for structured problem-solving and analytical tasks High sense of responsibility, strong engagement, and work ownership Activity: Baking Contract type: Fix term contract

Responsibilities

The role focuses on integrating and analyzing sales data to create actionable insights and performance dashboards. It involves managing sales KPI frameworks and collaborating across departments to improve data literacy and decision-making.