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- Tasks: Drive data-driven optimization and innovation in supply chain operations.
- Company: Join a forward-thinking company focused on enhancing supply chain efficiency.
- Benefits: Enjoy competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Be at the forefront of supply chain analytics and technology innovation.
- Qualifications: Bachelor's degree and 5+ years in supply chain data analysis required.
- Other info: Collaborate with cross-functional teams and lead impactful projects.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Position Overview
We are seeking a skilled Supply Chain Analyst Manager to drive data-driven optimization and innovation across our supply chain operations. The ideal candidate will leverage advanced analytics to enhance efficiency, reduce costs, and improve decision-making in inventory, logistics, procurement, and production.
Key Responsibilities
1.Data Analysis & Modeling
- Collect, clean, and analyze supply chain data (inventory, logistics, procurement, production).
- Develop and optimize forecasting models for demand planning, inventory optimization, and transportation route planning.
2.Supply Chain Optimization
- Identify bottlenecks through data analysis and propose actionable solutions to improve operational efficiency.
- Monitor and report on key KPIs (e.g., inventory turnover rate, order fulfillment rate) to track performance.
3.Data Visualization & Reporting
- Design intuitive dashboards and reports using tools like Tableau or Power BI to communicate supply chain performance to stakeholders.
- Deliver data-driven insights and recommendations to senior management and cross-functional teams.
4.Cross-functional Collaboration
- Partner with procurement, logistics, production, and sales teams to align analytical outcomes with business goals.
- Collaborate with IT to ensure robust data infrastructure (collection, storage, processing) for analytical needs.
5.Technology Innovation
- Research emerging trends in supply chain analytics (e.g., AI, automation) and evaluate their business applications.
- Champion the adoption of advanced tools (e.g., machine learning) to enhance analytical accuracy and efficiency.
Requirements
- Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Supply Chain Management, or a related field.
- 5+ years of experience in supply chain data analysis, with deep knowledge of end-to-end supply chain processes.
- Proficiency in data analysis tools and programming languages (Python, R, SQL).
- Hands-on experience leading supply chain optimization projects from data collection to implementation.
- Expertise in data visualization tools (Tableau, Power BI).
- Foundational knowledge of statistical analysis and machine learning techniques for solving business problems.
- Familiarity with supply chain management systems and ERP data structures.
- Strong communication skills to translate technical insights into actionable business strategies.
- Collaborative mindset with proven ability to work effectively in cross-departmental projects.
- Proactive problem-solving skills and innovative thinking to address complex challenges.
- High sense of ownership and commitment to driving results.
Senior Supply Chain Analyst Manager employer: JD.COM
Contact Detail:
JD.COM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Supply Chain Analyst Manager
✨Tip Number 1
Familiarize yourself with the latest trends in supply chain analytics, especially in AI and automation. This knowledge will not only help you stand out but also demonstrate your commitment to innovation in the field.
✨Tip Number 2
Network with professionals in the supply chain industry through platforms like LinkedIn. Engaging with others can provide insights into the company culture at StudySmarter and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive supply chain optimization in your previous roles. Real-world applications of your skills will resonate well during interviews.
✨Tip Number 4
Showcase your proficiency in data visualization tools like Tableau or Power BI by creating sample dashboards that highlight key supply chain metrics. This practical demonstration can set you apart from other candidates.
We think you need these skills to ace Senior Supply Chain Analyst Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in supply chain data analysis and optimization. Emphasize your proficiency in tools like Python, R, SQL, and data visualization platforms such as Tableau or Power BI.
Craft a Compelling Cover Letter: In your cover letter, showcase your understanding of the key responsibilities outlined in the job description. Discuss specific examples of how you've driven data-driven optimization in previous roles and how you can bring that expertise to the company.
Highlight Cross-Functional Collaboration: Demonstrate your ability to work collaboratively with different teams. Provide examples of past projects where you partnered with procurement, logistics, or production teams to achieve business goals.
Showcase Problem-Solving Skills: Include instances where you've identified bottlenecks in supply chain processes and implemented solutions. Highlight your innovative thinking and proactive approach to overcoming challenges.
How to prepare for a job interview at JD.COM
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis tools like Python, R, and SQL. Highlight specific projects where you successfully collected, cleaned, and analyzed supply chain data, and be ready to explain the impact of your findings.
✨Demonstrate Supply Chain Knowledge
Familiarize yourself with end-to-end supply chain processes and be ready to discuss how you've identified bottlenecks and proposed solutions in previous roles. Use examples that showcase your understanding of inventory management, logistics, and procurement.
✨Prepare for Technical Questions
Expect questions about statistical analysis and machine learning techniques. Brush up on relevant concepts and be ready to explain how you've applied these techniques to solve business problems in your past work.
✨Highlight Collaboration Experience
Since this role involves cross-functional collaboration, prepare examples that demonstrate your ability to work effectively with teams from different departments. Discuss how you aligned analytical outcomes with business goals and contributed to team success.
