Inventory Data Analyst

Agora Talent
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst ( hybrid) 3 days in office

AWS Data Engineer - Snowflake Cortex (Contract)

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.
  • 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.

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 and a proven background in either fashion, beauty, luxury or the consumer sector, please apply now!

Seniority level

  • Seniority levelAssociate

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst
  • IndustriesRetail Luxury Goods and Jewelry, Retail Apparel and Fashion, and Personal Care Product Manufacturing

Referrals increase your chances of interviewing at Agora Talent by 2x

Get notified about new Data Analyst jobs in London Area, United Kingdom.

London, England, United Kingdom 1 week ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 3 weeks ago

Hammersmith, England, United Kingdom 1 week ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 6 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 days ago

Data Analyst / Business Analyst – Risk Rating & Pricing

London Area, United Kingdom £40,000.00-£45,000.00 6 hours ago

London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.