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- Tasks: Enhance data-led decision-making in forecasting and inventory optimisation.
- Company: Join Selecta, a leader in supply chain innovation.
- Benefits: Enjoy 25 days annual leave, life assurance, and career progression support.
- Other info: Dynamic role with opportunities for professional growth.
- Why this job: Make a real impact on product availability and cost-reduction initiatives.
- Qualifications: Strong analytical skills and advanced Excel proficiency required.
The predicted salary is between 30000 - 40000 £ per year.
Selecta is seeking a Supply Chain Analyst to enhance data-led decision-making across multiple supply chain functions including forecasting, inventory optimisation, and supplier performance management. This role demands strong analytical capabilities and advanced skills in Excel, ERP systems, and communication. The successful candidate will ensure product availability and support cost-reduction initiatives while contributing to operational excellence.
Selecta offers 25 days of annual leave, life assurance, and strong leadership support for career progression.
Data-Driven Supply Chain Analyst: Forecasting & Optimization employer: Selecta
Contact Detail:
Selecta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Supply Chain Analyst: Forecasting & Optimization
✨Tip Number 1
Network like a pro! Reach out to people in the supply chain field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytical projects, especially those involving forecasting and optimisation. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your Excel and ERP skills before interviews. We all know how crucial these are for a Supply Chain Analyst role, so be ready to demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data-Driven Supply Chain Analyst: Forecasting & Optimization
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical capabilities in your application. We want to see how you’ve used data to drive decisions in the past, especially in forecasting and optimisation.
Excel is Key: Since this role requires advanced Excel skills, don’t shy away from mentioning any specific projects or experiences where you’ve used Excel to solve problems or improve processes. We love a good spreadsheet story!
Tailor Your Communication: Communication is crucial in this role, so be sure to demonstrate your ability to convey complex information clearly. Use examples from your previous roles where you’ve successfully communicated with different stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Selecta
✨Know Your Data
Make sure you brush up on your analytical skills and be ready to discuss how you've used data in past roles. Be prepared to share specific examples of how your insights led to improved forecasting or inventory optimisation.
✨Excel Like a Pro
Since this role requires advanced Excel skills, practice using functions, pivot tables, and data visualisation techniques. You might even want to prepare a mini-project to showcase your abilities during the interview.
✨Communicate Clearly
Strong communication is key in this role. Think about how you can explain complex data insights in simple terms. Practise articulating your thoughts clearly and confidently, as you'll need to convey your findings to various stakeholders.
✨Align with Their Goals
Research Selecta’s current supply chain initiatives and think about how your skills can contribute to their goals. Be ready to discuss how you can support cost-reduction initiatives and enhance operational excellence based on your previous experiences.