Job description
Inventory Data Analyst
Company Overview
Agora Talent
Job Summary
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.
Requirements / Qualifications
- 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.
- Inventory analysis experience in either fashion, accessories or luxury is desirable.
- 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.
Location
London Area, United Kingdom, Remote: Off
Employment Type
Full Time
