Revenue Optimisation Analyst - Retail

Revenue Optimisation Analyst – Food Production/Retail Office Location: London, Southwark Salary: £35,000 - £45,000 DOE Mon-Fri, 9am – 5pm (2-3 days WFH + site visits) Pod Talent is excited to partner with an exciting FMCG scale-up company that is currently taking its market by storm. This business is currently operating all around the UK with massive growth plans in place. They are widely celebrated for their innovation, progressiveness and outstanding customer service. As a Revenue Optimisation Analyst, you will be responsible for all things related to PNL, data entry and analytics, spreadsheet magic and full production stock control. The most exciting part of this role is the process development and an opportunity to create your own system whilst building a team around yourself. This is a superb opportunity to work within a supportive and collaborative team. This role will truly be able to offer you a lot of autonomy and decision-making. All new process implementation and development will be highly celebrated and rewarded with a potential promotion within the first 6-12 months. What are your responsibilities: Fully responsible for data analysis, personal and team performances, KPIs and its effects on PNL. Accurate weekly and monthly production planning with close control of stock management. Sales performance, forecasting, waste performance and development analysis with constant reposting. Daily contribution to an exciting project and rapid business growth and expansion. What is your skill set: 2+ years of experience in similar data analysis or revenue optimisation role, ideally in a similar industry (FMCG, Food production, Retail, Hospitality) Higher education in related subject (2:1) Must have exceptional knowledge and daily practice in Excel. (non-negotiable) Strong motivation and ability to meet tight deadlines. If you are reliable, trustworthy, data-driven and able to work under tight deadlines you are the perfect fit for this role. It’s a fantastic opportunity for an ambitious candidate to join a rapidly growing and expanding business to progress their data analytics career and take it to a brand-new level. Apply today