<dt class="rm-fieldTitle">Description</dt><dd class="rm-fieldData"><p><span style="font-size: 8pt;"><strong data-olk-copy-source="MessageBody">Data Analyst (Excel &amp; Operational Insight) | Cheadle | Onsite | £30,000 - £35,000 + wide range of benefits/discounts | Retail/FMCG</strong></span></p><p><span style="font-size: 8pt;">This is an exciting opportunity to join a fast-growing, high-volume business operating within the retail and FMCG space. The organisation is scaling rapidly, with data sitting at the heart of decision-making across the business.</span></p><p><span style="font-size: 8pt;">Working in a collaborative, fast-paced environment, you'll play a key role in turning data into actionable insights that drive efficiency, improve performance, and support commercial decision-making across multiple teams.</span></p><p><span style="font-size: 8pt;"><strong>The Role</strong></span></p><ul class="xMailOutline"><li><span style="font-size: 8pt;">Build, maintain and enhance Excel models used across finance and operations </span></li><li><span style="font-size: 8pt;">Analyse large datasets using Excel to identify trends, inconsistencies and opportunities </span></li><li><span style="font-size: 8pt;">Produce regular, Excel-based reporting to support operational and financial performance </span></li><li><span style="font-size: 8pt;">Identify inefficiencies and cost-saving opportunities through detailed data analysis </span></li><li><span style="font-size: 8pt;">Clean, validate and structure data within Excel to ensure accuracy and usability </span></li><li><span style="font-size: 8pt;">Use advanced Excel functions (Pivot Tables, Lookups, data manipulation) to interrogate and interpret data </span></li><li><span style="font-size: 8pt;">Manipulate and transform raw data into structured formats suitable for reporting and analysis</span></li></ul><p><span style="font-size: 8pt;"><strong>About You</strong></span></p><ul class="xMailOutline"><li><span style="font-size: 8pt;">Strong Excel skills (Pivot Tables, Lookups, data manipulation) are essential</span></li><li><span style="font-size: 8pt;">Experience working with data in a commercial environment (Retail or FMCG preferred)</span></li><li><span style="font-size: 8pt;">Degree in a numerical or analytical field (e.g. Maths, Economics, Data, Business) is advantageous</span></li><li><span style="font-size: 8pt;">Confident working with large datasets and drawing meaningful conclusions</span></li><li><span style="font-size: 8pt;">Strong attention to detail with a focus on data accuracy and integrity</span></li><li><span style="font-size: 8pt;">Proactive, curious and comfortable working in a fast-paced, onsite environment</span></li><li><span style="font-size: 8pt;">Able to communicate insights clearly and support decision-making across teams</span></li></ul><p><span style="font-size: 8pt;"><strong>What's on Offer</strong></span></p><ul class="x_MailOutline"><li><span style="font-size: 8pt;">£30,000 - £35,000 salary</span></li><li><span style="font-size: 8pt;">Fully onsite working environment</span></li><li><span style="font-size: 8pt;">Staff discounts and additional benefits</span></li><li><span style="font-size: 8pt;">Opportunity to develop strong, practical Excel and data skills</span></li><li><span style="font-size: 8pt;">Clear progression as the business continues to grow</span></li></ul><p><span style="font-size: 8pt;">Zachary Daniels and our client are both equal opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees.</span></p><div><span style="font-size: 8pt;">Zachary Daniels is a Niche, National &amp; International Recruitment Consultancy. Specialising in Buying, Merchandising &amp; Ecommerce | Design, Technical, Wholesale &amp; Production | Finance | HR &amp; Talent | H&amp;S &amp; Compliance | Marketing, Digital &amp; Technology | Property &amp; Centre Management | Retail, Trade, Leisure &amp; Wholesale Operations | Senior Appointments &amp; Exec | Sales | Supply Chain &amp; Logistics</span></div><div> </div><div><span style="font-size: 8pt;">BH35729</span></div></dd>