Customer Analytics Lead

Customer Analytics Lead CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. The role is responsible for leading the delivery of end-to-end customer analytics engagements, translating and presenting complex data in clear, actionable insights that support decision-making and build customer trust. It designs and executes advanced analytics workflows, including automated AI/ML models and visualisations, while embedding risk and control principles into analysis and reporting to support compliance and risk awareness. The role drives continuous improvement through innovation, automation, and best practices, manages multiple projects with consistency and quality, and communicates insights effectively to internal and external stakeholders. In addition, the role provides mentoring and guidance to junior analysts, promoting high standards, collaboration, and capability development across the team. Key Responsibilities - Manage and deliver end-to-end customer programmes, ensuring analytics outputs are accurate, insightful, and aligned to customer objectives. - Design, build, and maintain advanced analytics workflows, including automated models, dashboards, and visualisations. - Translate analytical findings into actionable insights and recommendations for both technical and non-technical stakeholders. - Integrate risk and control considerations into analytics and reporting, identifying key risk indicators and supporting compliance alignment. - Lead structured problem-solving initiatives to improve analytics quality, efficiency, and scalability through automation and standardisation. - Manage multiple analytics projects concurrently, ensuring consistent delivery, quality standards, and timely execution. - Present insights clearly and confidently to internal teams and external customers, tailoring messaging to business context. - Promote and embed best practices in analytics delivery, documentation, and data governance. - Coach and mentor junior analysts, providing guidance, feedback, and support to build capability and confidence. - Foster collaboration within the team and across stakeholders to deliver high-quality, integrated outcomes. Skills & Competencies - Customer Engagement & Delivery: Manages end-to-end customer deliverables, translating analytics into actionable insights. Builds customer trust through reliability and quality of insight and delivery. - Intelligence, Data Analytics & AI: Designs and executes advance ... (truncated, view full listing at source)