Growth Analytics Manager (Virtual Brands)

Growth Analytics Manager (Virtual Brands) Department: Operations Team: Sales Operations Location: London, United Kingdom Type: Full-Time **About the Role** The Virtual Brand pod is a new team within our Enterprise function, supporting the rapid expansion of our Virtual Brand partners across the UK. As these partners grow at pace, they face unique operational challenges; and that's where you come in. As a Partner Success & Operations Manager, you will work closely with Account Managers and have a strong operational focus, leveraging analytical skills and data-driven insights to enhance partner performance, streamline operational processes, and maintain Uber Eats as the preferred delivery platform for our strategic partners. **What you will do** - Operational Excellence: Drive improvement in key operational metrics, enhancing the reliability and efficiency of both partner operations and the Uber Eats platform. - Data-Driven Insights: Continuously monitor and analyse key partner performance metrics, adoption patterns, and product usage trends to deliver compelling presentations demonstrating value and ROI. - Account Reviews: Conduct structured and regular account reviews, including Quarterly Business Reviews (QBRs), to assess partner performance, share strategic insights, and align on future objectives. - Customer Advocacy: Serve as the primary advocate for customer needs, actively coordinating with internal teams to promptly resolve merchants’ pain points and implement product and service enhancements. - Relationship Management: Proactively build and nurture strong relationships with customers to ensure consistent satisfaction and long-term success. - Growth Strategy: Identify and pursue opportunities for account growth, recommending tailored products or services, and actively supporting sales efforts to secure renewals and expand partnerships. **What you will need** - 5+ years of experience in a highly analytical commercial role. - Proficient in using SQL to extract insights and analyse data effectively. - Expertise in operational excellence and analytics, with experience presenting data-driven