Beauty Stock Analyst | Greater Manchester | Scaling Brand | £30,000 - £35,000 A highly ambitious, fast-growing beauty brand in the heart of Greater Manchester is scaling rapidly, with a strong focus on optimising stock, performance, and profitability. With a turnover of £160m, this business has built serious momentum and now they're looking for a commercially minded MAA, Assistant Merchandiser or Data Analyst to play a pivotal role as the link between stock, merchandising, and finance. If you're in merchandising and feel ready to step away from the 'same old' cycle, this is a unique opportunity to apply your analytical skillset in a more dynamic, insight-led environment while opening longer-term pathways into commercial focused careers. The Opportunity: This is a highly collaborative, commercially impactful role where you'll work closely with merchandising, trading, logistics, and finance teams to drive smarter decisions across the business. You'll take ownership of stock insight across eCommerce, retail stores, and wholesale partnerships ensuring the business is trading as efficiently and profitably as possible. What You'll Be Doing: Build, maintain and enhance Excel models used across finance, merchandising and operations Analyse large datasets to identify trends, risks, gaps, and commercial opportunities within the stock file Take ownership of total business stock, highlighting where the business is under or overstocked and flagging this to the relevant teams across operations, merchandising, finance and product Support and develop reporting frameworks into and out of Power BI Produce regular reporting to support operational and financial performance Identify inefficiencies and cost-saving opportunities through detailed analysis Clean, validate and structure data to ensure accuracy and usability Use advanced Excel (Pivot Tables, Lookups, data manipulation) to interrogate data Translate raw data into clear, actionable insights Alongside this, you'll develop a deep understanding of: Product splits, category mix, and sub-categories Core trading KPIs including cover, commitment, margin, uplift, cash performance, and rate of sale Daily, weekly, and monthly performance tracking to drive real-time decision-making About You: Strong Excel skills are essential Experience in a commercial data environment (Fashion, Beauty, FMCG) Background in merchandising (MAA / Assistant Merchandiser) or data analysis Confident working with large datasets and drawing meaningful conclusions Strong attention to detail and data accuracy Proactive, curious, and confident challenging or highlighting risks Comfortable working onsite in a fast-paced, collaborative environment Able to communicate insights clearly across multiple teams BH35790