<dt class="rm-fieldTitle">Description</dt><dd class="rm-fieldData"><p><span style="font-size: 10pt;"><strong><span class="" data-olk-copy-source="MessageBody">Beauty Stock Analyst | Greater Manchester | Scaling Brand | £30,000 - £35,000</span></strong></span><br class=""><br class=""><span style="font-size: 8pt;">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.</span></p><p><span style="font-size: 8pt;">With a turnover of <span class="">£160m+</span>, 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.</span></p><p><span style="font-size: 8pt;">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.</span></p><h2 class=""><span class="" style="font-size: 8pt;">The Opportunity:</span></h2><p><span style="font-size: 8pt;">This is a highly collaborative, commercially impactful role where you'll work closely with <span class="">merchandising, trading, logistics, and finance teams</span> to drive smarter decisions across the business.</span></p><p><span style="font-size: 8pt;">You'll take ownership of stock insight across <span class="">eCommerce, retail stores, and wholesale partnerships </span>ensuring the business is trading as efficiently and profitably as possible.</span></p><h2 class=""><span class="" style="font-size: 8pt;">What You'll Be Doing:</span></h2><ul class=""><li class=""><span style="font-size: 8pt;">Build, maintain and enhance Excel models used across finance, merchandising and operations</span></li><li class=""><span style="font-size: 8pt;">Analyse large datasets to identify trends, risks, gaps, and commercial opportunities within the stock file</span></li><li class=""><span style="font-size: 8pt;">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 </span></li><li class=""><span style="font-size: 8pt;">Support and develop reporting frameworks into and out of Power BI</span></li><li class=""><span style="font-size: 8pt;">Produce regular reporting to support operational and financial performance</span></li><li class=""><span style="font-size: 8pt;">Identify inefficiencies and cost-saving opportunities through detailed analysis</span></li><li class=""><span style="font-size: 8pt;">Clean, validate and structure data to ensure accuracy and usability</span></li><li class=""><span style="font-size: 8pt;">Use advanced Excel (Pivot Tables, Lookups, data manipulation) to interrogate data</span></li><li class=""><span style="font-size: 8pt;">Translate raw data into clear, actionable insights</span></li></ul><p><span class="" style="font-size: 8pt;">Alongside this, you'll develop a deep understanding of:</span></p><ul class=""><li class=""><span style="font-size: 8pt;">Product splits, category mix, and sub-categories</span></li><li class=""><span style="font-size: 8pt;">Core trading KPIs including cover, commitment, margin, uplift, cash performance, and rate of sale</span></li><li class=""><span style="font-size: 8pt;">Daily, weekly, and monthly performance tracking to drive real-time decision-making</span></li></ul><h2 class=""><span class="" style="font-size: 8pt;">About You:</span></h2><ul class=""><li class=""><span style="font-size: 8pt;">Strong Excel skills are essential </span></li><li class=""><span style="font-size: 8pt;">Experience in a commercial data environment (Fashion, Beauty, FMCG)</span></li><li class=""><span style="font-size: 8pt;">Background in merchandising (MAA / Assistant Merchandiser) or data analysis</span></li><li class=""><span style="font-size: 8pt;">Confident working with large datasets and drawing meaningful conclusions</span></li><li class=""><span style="font-size: 8pt;">Strong attention to detail and data accuracy</span></li><li class=""><span style="font-size: 8pt;">Proactive, curious, and confident challenging or highlighting risks</span></li><li class=""><span style="font-size: 8pt;">Comfortable working onsite in a fast-paced, collaborative environment</span></li><li class=""><span style="font-size: 8pt;">Able to communicate insights clearly across multiple teams</span></li></ul><p><span style="font-size: 8pt;">BH35790</span></p></dd>