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For Companies At a Glance
- Tasks: Drive data-driven optimization in supply chain operations and enhance efficiency.
- Company: Join JD.COM, a leader in global retail innovation and supply chain solutions.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration across teams.
- Why this job: Be at the forefront of supply chain analytics, leveraging cutting-edge technology and data insights.
- Qualifications: Bachelor’s degree and 5+ years in supply chain analysis; proficiency in Python, R, SQL required.
- Other info: Ideal for proactive problem-solvers eager to make an impact in a dynamic environment.
The predicted salary is between 48000 - 84000 £ per year.
Direct message the job poster from JD.COM
Talent Acquisition Specialist @ JD | Global Recruitment
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.
- 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.
3. 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.
4. 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.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Supply Chain and Analyst
- Industries
- Retail
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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
Make sure to 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 show your proactive approach to innovation.
✨Tip Number 2
Network with professionals in the supply chain field, particularly those who work at JD or similar companies. Engaging with them can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis tools like Python, R, or SQL in past projects. Being able to articulate your hands-on experience will demonstrate your expertise effectively.
✨Tip Number 4
Showcase your ability to collaborate across departments by preparing examples of successful cross-functional projects. Highlighting your teamwork skills will resonate well with the collaborative culture at JD.
We think you need these skills to ace Senior Supply Chain Analyst Manager
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Supply Chain Analyst Manager position. Understand the key responsibilities and requirements, especially focusing on data analysis, supply chain optimization, and cross-functional collaboration.
Highlight Relevant Experience: In your application, emphasize your experience in supply chain data analysis and any specific projects where you led optimization efforts. Use quantifiable achievements to demonstrate your impact, such as improvements in efficiency or cost reductions.
Showcase Technical Skills: Make sure to mention your proficiency in data analysis tools and programming languages like Python, R, and SQL. Highlight your experience with data visualization tools such as Tableau or Power BI, as these are crucial for the role.
Tailor Your Application: Customize your CV and cover letter to reflect the language and keywords used in the job description. This will help your application stand out and show that you are a great fit for the company's needs.
How to prepare for a job interview at JD.COM
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis tools and programming languages 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 Optimization Experience
Discuss your hands-on experience in leading supply chain optimization projects. Provide examples of how you identified bottlenecks and proposed actionable solutions that improved operational efficiency, and mention any KPIs you monitored.
✨Emphasize Cross-Functional Collaboration
Illustrate your ability to work collaboratively with different teams such as procurement, logistics, and production. Share examples of how you aligned analytical outcomes with business goals and how you communicated insights to stakeholders.
✨Stay Updated on Technology Innovations
Research emerging trends in supply chain analytics, such as AI and automation, before the interview. Be ready to discuss how you have championed the adoption of advanced tools and how they can enhance analytical accuracy and efficiency in supply chain operations.
