Associate Merchandiser (e-Commerce)
Vauxhall, London - Onsite
We're looking for a proactive and detail-oriented Associate Merchandiser to join our growing team. In this role, you’ll ensure our product range is beautifully presented and easily discoverable on the Zapp app and website — helping us remain the top destination for luxury convenience retail in London.You'll be someone who's eager to learn about customer needs, market trends, and the e-commerce landscape, all with a sharp commercial mindset. We need someone with impeccable attention to detail, a knack for organisation, and strong communication skills. Ultimately, your contributions will directly support our efforts to increase sales and profitability, driving sustainable growth for the business.Zapp is London’s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi-trillion dollar convenience retail market, currently dominated by major players, by developing best-in-class customer-centric technology and fulfilment solutions. Zapp partners with some of the world’s leading brands to deliver an exclusive range of hand-picked products 24/7, delivered in minutes.
Key Responsibilities
Content & Presentation:
- Assist in creating and maintaining engaging product content on the Zapp app and website, ensuring accuracy and visual appeal.
- Review product pages and identify areas to improve content, focusing on high-quality images, accurate descriptions, and engaging details to highlight luxury and convenience.
- Strong understanding of e-commerce merchandising processes and how SEO enhances product visibility.
Strategy & Planning
- Play a key role in planning and executing merchandising strategies, such as in-app campaign collections and curated SKU selections, by contributing to a robust, long-term collaboration process across Marketing, Commercial, and Merchandising teams.
- Optimise our SKU onboarding to proactively secure comprehensive content from brands, ensuring a seamless launch with no missing information.
- Identify quick wins for catalogue enhancement, such as reordering products, improving search terms, or enhancing descriptions based on customer insights.
- Create a preliminary plan for long-term catalogue optimisation, focusing on high-demand product categories and emerging customer preferences.
Data Analysis & Optimisation
- Review sales data, search terms, and customer feedback to identify key trends, popular items, and areas for improvement.
- Regularly analyze BI tools (like Looker) to understand product and category performance, making quick, data-driven adjustments as needed. You'll be accountable for key performance indicators (KPIs) such as conversion rates, average basket size, and click-through-rates, with a focus on improving performance, for example, on seasonal collections (in-app campaigns)
- Work with BI and Product teams to identify significant merchandising data gaps on the app.
- Proactively identify challenges such as slow-moving lines and propose effective solutions like markdown strategies or content updates.
- Report on performance and present findings to wider teams, clearly communicating insights and recommendations.
- Challenge existing processes and propose innovative improvements to enhance our merchandising effectiveness.
Requirements
- 2-4 years of experience in an e-Commerce or merchandising support role (internships or relevant coursework are a plus).
- A keen interest in in-app customer experience and a desire to understand how product presentation influences purchasing decisions.
- Excellent organizational skills and meticulous attention to detail.
- Strong analytical aptitude and proficiency in Google Workspace (especially Google Sheets).
- A proactive attitude with a willingness to learn and take initiative.
- Familiarity with Looker (or similar BI tools), merchandising systems, CMS, PIM tools, and basic SQL.
Benefits
- Enjoy 25 days of holiday per year (plus all bank holidays)
- Private Health Insurance
- Extended sick pay and maternity/paternity leave pay
- Perkbox
- Cycle to work scheme