Data Analyst

Data Analyst

Interested in this role You can find all the relevant information in the description below.

Central London - Hybrid 3/2

We’re looking for a commercially minded Data Analyst to join our client a global beauty group based in Central London. Operating in over 130 countries through retailers and direct-to-consumer channels, our client has become a major player in the perfume and beauty sector. It is a really exciting time to join the business where you will play a pivotal role working across the teams.

This isn’t just about pulling data, reporting into the Sales Director you’ll partner with the business to uncover what matters, curate the story behind the numbers, and help build strategies that drive growth. From providing actionable and insightful dashboards, to producing major reviews to support strategic decision. If this sounds like you please read further..

This is a brilliant opportunity for someone who loves going through data, knows how to turn insight into action, and wants to make a real impact in a fast-moving global beauty business.

What You’ll Do

• Collect, clean, and analyse sales and stock data from multiple UK retail partners (e.g. Boots, Superdrug, The Perfume Shop, Harrods, Frasers etc) across multiple brands
• Interpret EPOS data, category reports, and retailer portals (e.g. Nielsen, IRI, Circana).
• Build & maintain dashboards and reports to track SKU performance, promotions, margins, and availability across channels.
• Support commercial and marketing teams with analysis of NPD launches, promotional ROI, and pricing strategies.
• Ad-hoc support with major strategic decisions
• Build and maintain high quality reports and dashboards, particularly for trading, marketing and customer performance.
• Deliver proactive analysis that are commercially relevant and decision focused.

What You’ll Need

• Experience working with major UK retailers and understanding of EPOS / POS / retail sales data.
• Strong proficiency in Microsoft Excel (pivot tables, formulas, data manipulation).
• Working knowledge of BI tools such as Power BI, Tableau, or similar.
• SQL or Python knowledge is advantageous but not essential.
• A proactive mindset, you don’t wait to be asked, you spot what needs attention and get stuck in
• The ability to turn complex data into clear insights and compelling stories that influence decisions
• Commercial awareness and strategic thinking — you know when to zoom in on detail and when to pull back to the bigger picture
• Ability to translate complex data into actionable insight and communicate it clearly
• Comfortable building reports, dashboards,
• Strong stakeholder skills — confident working cross-functionally and collaborating with non-data teams
• Experience in a beauty, retail, fashion, or a consumer brand environment