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- Tasks: Analyse inventory data, conduct audits, and optimise stock management processes.
- Company: Join a fast-growing luxury accessories brand with ambitious growth plans.
- Benefits: Opportunity for career development and responsibility in a dynamic retail environment.
- Why this job: Be part of a high-end brand where your insights directly impact success.
- Qualifications: Experience in inventory control and advanced Excel skills required.
- Other info: Ideal for detail-oriented individuals who thrive in fast-paced settings.
The predicted salary is between 36000 - 60000 £ per year.
My client, a growing luxury accessories brand, is seeking an Inventory Data Analyst to play a key role in optimising stock management and driving operational efficiency. This is an exciting opportunity to join a fast-scaling business where your expertise in inventory control, data analysis, and stock auditing will directly contribute to its continued success. With ambitious growth plans, this role offers room to develop and take on more responsibility, making it ideal for someone who thrives in a dynamic, high-end retail environment and wants to grow with the company.
Key Responsibilities:
- Data Integrity & Reconciliation: Ensure accurate inventory records through regular reconciliations and audits. Investigate discrepancies and collaborate with finance, production, and retail teams to resolve stock-related issues.
- Stock Audits & Reporting: Lead stocktakes across various departments, using advanced Excel functions (index/match, nested IF statements, XLOOKUPs, pivot tables, and macros) to track and analyse data. Prepare monthly reports on key inventory metrics, stock levels, and discrepancies, offering actionable insights to senior management.
- Process Optimisation & Compliance: Identify root causes of stock discrepancies and drive process improvements to minimise inventory losses. Develop and maintain SOPs for inventory control, ensuring best practices across the business. Train cross-functional teams on inventory processes and system usage.
- Operational Support & Collaboration: Work closely with finance and operations teams to manage inventory adjustments and intercompany stock transfers.
Skills & Experience Required:
- Experience in inventory control, data analysis, and stock auditing.
- Advanced Excel skills, with proficiency in formulas, pivot tables, and macros.
- Familiarity with ERP systems and inventory management platforms.
- Strong analytical skills with the ability to interpret large datasets and present insights to senior stakeholders.
- Detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
This is a fantastic opportunity to join a leading luxury retail brand and play a pivotal role in optimising inventory operations. If you have the expertise and passion for data-driven inventory management, please apply now!
Inventory Data Analyst employer: Agora Talent
Contact Detail:
Agora Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Inventory Data Analyst
✨Tip Number 1
Familiarise yourself with the specific inventory management software and ERP systems used by luxury brands. Research common tools in the industry, as demonstrating knowledge of these systems can set you apart during interviews.
✨Tip Number 2
Brush up on your advanced Excel skills, especially functions like pivot tables and macros. Consider creating a portfolio of sample reports or analyses that showcase your ability to manipulate and present data effectively.
✨Tip Number 3
Network with professionals in the luxury retail sector. Attend industry events or join relevant online forums to connect with others who may provide insights or referrals for the Inventory Data Analyst role.
✨Tip Number 4
Prepare to discuss specific examples of how you've optimised inventory processes in previous roles. Be ready to share measurable outcomes from your initiatives, as this will demonstrate your impact and suitability for the position.
We think you need these skills to ace Inventory Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in inventory control, data analysis, and stock auditing. Use specific examples that demonstrate your advanced Excel skills and familiarity with ERP systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven inventory management and how your skills align with the company's growth plans. Mention your ability to thrive in a dynamic retail environment and your eagerness to take on more responsibility.
Showcase Analytical Skills: When detailing your experience, focus on your analytical skills. Provide examples of how you've interpreted large datasets and presented insights to senior stakeholders, particularly in relation to inventory metrics and process optimisation.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for the Inventory Data Analyst role.
How to prepare for a job interview at Agora Talent
✨Showcase Your Excel Skills
Since advanced Excel skills are crucial for this role, be prepared to discuss your experience with functions like index/match, pivot tables, and macros. You might even want to bring examples of reports you've created or analyses you've conducted using these tools.
✨Demonstrate Your Analytical Mindset
Highlight your ability to interpret large datasets and present insights. Prepare to discuss specific instances where your analytical skills led to improved inventory management or operational efficiency in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding stock discrepancies. Think of examples where you identified root causes and implemented process improvements, as this will show your proactive approach.
✨Emphasise Collaboration Experience
This role requires working closely with various teams. Be ready to share experiences where you collaborated with finance, production, or retail teams to resolve issues or improve processes, showcasing your teamwork skills.
