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For Companies At a Glance
- Tasks: Drive data-driven optimization in supply chain operations through analysis and collaboration.
- Company: Join a forward-thinking company focused on innovation and efficiency in supply chain management.
- Benefits: Enjoy competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Be at the forefront of supply chain innovation, using advanced analytics to make impactful decisions.
- Qualifications: Bachelor’s degree and 5+ years in supply chain analysis with strong data skills required.
- Other info: Opportunity to work with cutting-edge technology and collaborate across departments.
The predicted salary is between 43200 - 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 (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.
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Senior Supply Chain Analyst Manager employer: ZipRecruiter
Contact Detail:
ZipRecruiter 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
Make sure to showcase your experience with data visualization tools like Tableau or Power BI. Being able to present complex data in an intuitive way is crucial for this role, so think about how you can highlight your skills in this area.
✨Tip Number 3
Network with professionals in the supply chain industry, especially those who work in analytics. Engaging with others can provide insights into the role and may even lead to referrals that could boost your application.
✨Tip Number 4
Prepare to discuss specific examples of how you've led supply chain optimization projects. Be ready to explain the challenges you faced, the data-driven solutions you implemented, and the results achieved to demonstrate your hands-on experience.
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 with tools like Python, R, SQL, and data visualization software such as Tableau or Power BI.
Craft a Compelling Cover Letter: In your cover letter, showcase your understanding of supply chain processes and how your skills can drive data-driven optimization. Mention specific projects where you successfully implemented analytical solutions.
Highlight Cross-Functional Collaboration: Demonstrate your ability to work with various teams by providing examples of past collaborations. Explain how you aligned analytical outcomes with business goals and contributed to cross-departmental projects.
Showcase Problem-Solving Skills: Include examples of complex challenges you've faced in supply chain management and how you approached them. Highlight your innovative thinking and proactive problem-solving abilities.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis tools like Python, R, and SQL. Highlight specific projects where you collected, cleaned, and analyzed supply chain data, and be ready to explain how your insights led to improved decision-making.
✨Demonstrate Supply Chain Optimization Experience
Discuss examples of how you've identified bottlenecks in supply chain processes and the actionable solutions you proposed. Be specific about the KPIs you monitored and how your interventions improved operational efficiency.
✨Prepare for Cross-Functional Collaboration Questions
Expect questions about your experience working with different teams such as procurement, logistics, and production. Share examples of successful collaborations and how you aligned analytical outcomes with business goals.
✨Stay Updated on Technology Innovations
Research emerging trends in supply chain analytics, such as AI and automation. Be ready to discuss how you have championed the adoption of advanced tools in your previous roles and their impact on analytical accuracy and efficiency.
