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- Tasks: Analyse sales and inventory data to drive smart business decisions.
- Company: Join a global tech leader making waves in the industry.
- Benefits: Enjoy a hybrid work model, competitive salary, and bonus opportunities.
- Why this job: Be part of a dynamic team influencing strategic projects with real impact.
- Qualifications: 3+ years in data analytics, strong Excel skills, and SCM knowledge required.
- Other info: Collaborate with international teams for a truly global experience.
The predicted salary is between 24000 - 32000 £ per year.
Our client is a global tech leader looking for a Junior Business Intelligence Manager to join their marketing team and play a key role in driving commercial decisions through data.
- Analyse and report on sales, inventory, and distribution data across multiple product categories.
- Liaise directly with sales, finance, and supply chain teams to ensure timely, accurate data flow.
- Support data automation and visualisation initiatives to enhance performance tracking and reporting.
- Collaborate with international teams and contribute to high-impact strategic projects.
3+ years’ experience in a data or analytics role.
- Knowledge of SCM (Supply Chain Management)
- Strong Excel skills and solid experience with data validation and reporting.
Locations
Supply Chain and Data Analyst employer: Cornucopia IT Resourcing
Contact Detail:
Cornucopia IT Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Supply Chain and Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in supply chain management and data analytics. This will not only help you understand the industry better but also allow you to speak confidently about relevant topics during interviews.
✨Tip Number 2
Network with professionals in the field through platforms like LinkedIn. Engaging with others who work in supply chain and data analysis can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Brush up on your Excel skills, especially focusing on data validation and reporting techniques. Being able to demonstrate your proficiency in these areas during practical assessments or discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive decisions in previous roles. Highlighting your experience with data automation and visualisation will show that you're ready to contribute to high-impact projects right away.
We think you need these skills to ace Supply Chain and Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and supply chain management. Use specific examples that demonstrate your skills in Excel and data reporting.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in liaising with sales and finance teams.
Showcase Your Analytical Skills: Provide concrete examples of past projects where you analysed data to drive decisions. Highlight any experience with data automation and visualisation tools, as these are key for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial for a data analyst position.
How to prepare for a job interview at Cornucopia IT Resourcing
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis in previous roles. Highlight your experience with sales, inventory, and distribution data, as this will demonstrate your capability to handle the responsibilities of the role.
✨Familiarise Yourself with Supply Chain Management
Since knowledge of SCM is crucial for this position, brush up on key concepts and terminology. Be ready to explain how you can apply this knowledge to improve data flow and reporting within the company.
✨Excel Proficiency is Key
Given the emphasis on strong Excel skills, practice common functions and data validation techniques. You might be asked to solve a problem or analyse a dataset during the interview, so being comfortable with Excel will give you an edge.
✨Prepare for Collaboration Questions
As the role involves liaising with various teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you can contribute to high-impact strategic projects and support international teams.
