Commercial Analyst (Data & Analytics)

**Commercial Analyst \| Turn Data Into Commercial Decisions** **UK \- Remote \- Home Based** Salary: Market Led Permanent Salary \+ Bonus \+ Leave What if your next analysis didn’t just produce another report, but changed how a business prices its products, invests its marketing budget or wins back customers? That’s what we’re looking for. We’re working with a global brand, think 000’s of physical stores, distribution centre’s and vans on the road. Operating at significant scale, the business has a wealth of data at its fingertips. Now, we’re looking for a commercially minded analyst who can turn that data into decisions that make a genuine difference. Joining the BI \& Analytics team, you’ll work at the intersection of data and commercial strategy, partnering with teams across Commercial, Pricing, Marketing and eCommerce to answer the questions that matter most. This isn’t a role where you sit back and wait for someone to send you a brief. It’s about spotting opportunities, challenging assumptions and getting under the skin of the numbers to uncover what’s really happening, why it’s happening and what the business should do next. Powered by a powerful Data Engineering and Data Science function. This will be suited to someone operating at, or close to a Senior level. **What will you be doing?** * **Uncovering commercial opportunities:** Proactively identifying the biggest questions, challenges and growth opportunities across the business, then leading the analysis to answer them. * **Influencing commercial strategy:** Working closely with Commercial, Pricing, Marketing and eCommerce to understand their objectives and help shape better decisions. * **Measuring what really works:** Evaluating campaigns, promotions and pricing changes to separate genuine incremental growth from what would have happened anyway. * **Understanding customer behaviour:** Analysing customer journeys and segments to identify missed opportunities, barriers to conversion and ways to improve retention. * **Testing and learning:** Supporting the design and evaluation of experiments, trials and test\-and\-control comparisons to establish what delivers the best results. * **Building the business case:** Creating straightforward forecasts and commercial models to support investment decisions, including marketing and media spend. * **Making data meaningful:** Presenting your findings in plain English, translating complex analysis into recommendations that stakeholders can understand and act upon. * **Collaborating across data:** Working alongside BI, Data Science and Data Engineering to ensure your work is consistent, robust and built on a trusted version of the truth. **What are we looking for?** We’re interested in someone who combines strong analytical capability with commercial curiosity and the confidence to influence people. You might already be a Commercial Analytics Manager, Commercial Analyst, Data Analyst, Customer Analyst or Marketing Analyst. Your job title matters less than your ability to get to the bottom of a problem and demonstrate how your work has made a difference. You’ll ideally bring: * Proven experience in a hands\-on data analytics role, preferably within retail, wholesale, eCommerce or another commercially focused environment. * Strong SQL and Excel skills, alongside experience using a BI platform such as Power BI. * A solid understanding of analytical techniques, including trend analysis, test\-and\-control comparisons and basic forecasting. * Commercial awareness, with an understanding of how pricing, margin, promotions and customer behaviour influence business performance. * Examples of analysis you’ve led that influenced a decision, improved performance or delivered measurable value. * The ability to communicate complex findings clearly and confidently, adapting your approach to different audiences. * The initiative to take ownership, challenge conventional thinking and pursue opportunities without needing a perfectly defined brief. **We’re not looking for a technical data scientist.** You won’t be building machine learning models. Instead, you’ll focus on the analytical thinking that bridges business intelligence and data science: understanding what the numbers mean and translating that understanding into action.