<div class="jobDesc"><p><span style="font-weight: 400;">We are looking for an experienced Commercial Data Analyst to join the successful lingerie &amp; nightwear brand here at Boux Avenue.&nbsp;</span></p><p><span style="font-weight: 400;">This role is responsible for creating the commercial data insights used to drive our Digital, Store, Buying and Marketing decisions, supporting and evolving our brand strategy. </span><span style="font-weight: 400;">Our ideal candidate will have several years' data analytics experience ideally working in a fashion retail brand. They will have a curious mind and be passionate about how data can be used to drive business growth. A confidence to bring their recommendations to life in front of our senior leadership team is essential for this role.</span></p><p><span style="font-weight: 400;">The core role responsibilities are:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Deliver a roadmap of regular business insights to support our key pillars of growth - customer, product, digital, and brand</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Interrogate, visualise, and interpret large volumes of data and present summarised outputs and commercial recommendations to internal stakeholders.</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Be the go-to person within the Boux Avenue team for all customer, channel, digital, and product data insight questions.</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Help identify opportunities to manage and integrate new data sources into the customer data model, e.g. market research data, marketing attribution data.</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">To work collaboratively across teams to turn data insights into action and drive measurable improvements in business performance</span></li></ul><p><span style="font-weight: 400;">At Boux Avenue, our customer data platform is based within the Google Cloud where we use Big Query SQL and Python for our analytics and Looker Studio, Google Sheets and Google Slides for reporting and visualisations. We also use Fospha for digital marketing attribution, ContentSquare for Online UX analytics and Google Analytics for online analytics.</span></p><p><span style="font-weight: 400;">Some of the projects we'd expect this role to work on:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Customer behavioural segmentation to identify our most valuable customers and their key attributes and building greater insights on frequency, retention and lifetime value dynamics</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Digital marketing attribution and media mix modelling to optimise our digital marketing investments</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Online conversion analytics to support our conversion testing programme</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Manage and evolve our insight dashboards and promote their use across the different teams.</span></li></ul><p><strong>Skills and experience:</strong></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Creative problem-solving - providing data to help grow the business</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">A curious and inquisitive nature plus an ability to build strong relationships with senior level stakeholders</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Rigorously analytical - able to generate commercial insights from large datasets of customer and product data</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Strong communication skills - someone who can clearly communicate insights to senior stakeholders</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Commercially savvy - you can nurture opportunities and recognise where your time will provide the most value</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Broad marketing analytics experience ideally with customer segmentation and marketing attribution / media mix modelling&nbsp;&nbsp;</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Expert working knowledge of Google Big Query and Looker Studio</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Experience working with our Fospha and ContentSquare would be an advantage&nbsp;</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">3-4 years experience working within a similar role preferably in retail or fashion</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Educated to at least degree level in a numerate subject such as Mathematics, Statistics or Economics</span></li></ul><p><strong>Role benefits:</strong></p><ul><li aria-level="1">Competitive salary</li><li aria-level="1">25 days holiday and bank holidays</li><li aria-level="1">Fun working environment with regular social events</li><li aria-level="1">Eligible to join the enhanced pension scheme after 12 month's service</li><li aria-level="1">Staff discounts across the brands within Theo Paphitis Retail Group (Ryman, Robert Dyas and London Graphic Centre)</li></ul></div>