Чем предстоит заниматься
Own end-to-end analytics for the X-Sell system, driving decisions across customer engagement, offer prioritisation, and recommendation logic
Design the analytical framework for cross-sell and next-best-offer strategies across our entire customer base
Build prioritisation logic for customer offers and communication, ensuring a smart and scalable approach
Partner closely with Product, ML, and Engineering teams to define business requirements for recommendation models and identify the most valuable use cases for ML applications
Translate business goals into analytical and model requirements: define what should be optimised, which signals and features matter, and how success should be measured
Drive experimentation culture through A/B testing, customer insights, and incremental optimisation of recommendation mechanics
Generate insights on customer behaviour and communication effectiveness to improve engagement and conversion across products
Help define where and how recommendation models should be implemented in production, aligning multiple stakeholders around priorities and execution
Establish scalable processes and decision-making frameworks for cross-sell initiatives in a fast-growing environment