Client Analytics Professional

소개

Drive client-centric business growth by transforming client and commercial data into actionable insights and strategic recommendations. The Client Analytics Professional is responsible for developing a deep understanding of client behaviours, journeys, and performance drivers across channels, enabling data-driven decision-making to strengthen client acquisition, retention, loyalty, and omnichannel engagement. This role also supports data-driven business initiatives by combining strong analytical capabilities with a solid understanding of data structures and client data platforms.

주요업무

• Monitor key client KPIs, including recruitment, retention, repeat purchase, frequency, spend, and category trends • Analyse client behaviours, purchasing patterns, and engagement opportunities to drive client growth, retention, and commercial performance • Conduct strategic and ad-hoc analyses to support business decision-making, including client segmentation, lifecycle analysis, omnichannel client behaviour, and special projects • Evaluate the effectiveness of omnichannel initiatives, clienteling impact, events, and client activation programmes • Translate complex data into actionable business insights and recommendations for the Intelligence Manager and cross-functional stakeholders • Proactively identify business opportunities, risks, and emerging trends to support CX and commercial strategy • Develop and maintain queries, reports, and data extraction processes to support business objectives • Support the exploration, proof of concept, testing, and rollout of new capabilities and technology solutions to address local market needs • Drive continuous improvement of data capabilities, reporting processes, and business tools to enhance operational efficiency and client experience

자격요건

• 5-8 years of experience in a customer-centric business environment, Client Experience, CRM, Client Analytics, Business Intelligence, Digital, Omnichannel, or related fields • Bachelor's degree in Business, Marketing, Data Analytics, Information Systems, Statistics, or a related field (4-year university degree) • Strong understanding of data structures and client data platforms • Strong analytical capabilities to translate complex data into actionable business insights

혜택 및 복지

자세한 사항은 홈페이지 참조