Head of Product Analytics (X-Sell)

We are building the next generation of our X-Sell system and are looking for a Product Analytics Lead/Head to own the analytical and decision-making foundation behind how we engage customers across products.

You will shape how we prioritise offers, orchestrate customer communication, and design the business logic behind cross-sell decisions, ensuring customers receive the right offer, at the right time, through the right channel. This is a high-impact opportunity to define an end-to-end recommendation ecosystem from the ground up, partnering closely with Product, ML, and Engineering teams to turn ideas into scalable production systems. 

 What you’ll do:

• 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

What makes you a great fit:

• Experience with X-cell or similar products

• A mathematical or technical degree from a top-tier university (MSU, MIPT, HSE, MSTU, MEPhI, NSE, etc.)

• Expert knowledge of mathematical statistics, probability theory, and systematic thinking

• Advanced SQL and Python 

• Hands-on experience with Tableau, Superset, or similar BI tools to translate data into actionable insights

• Ability to understand business objectives and transfer them into technical analytical tasks

• Experience in building processes and scaling them in fast-paced environments

• English proficiency (B1+) for effective collaboration within our international community

Our ways of working:

• Innovative Spirit: a team from the best technical universities

• Honest Feedback: valuing open, transparent communication

• Supportive Team: a strong, collaborative community

• Celebrating Achievements: recognizing our wins together

• High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances

Our benefits:

• Relocation support to one of our hubs with full visa & permit support to the employee and family

• Flexible work from one of our offices 

• Healthcare Coverage

• Education Budget: Language lessons, professional training and certifications

• Wellness Budget: Mental health and fitness activity reimbursements

• Vacation policy: 20 working days of annual leave and paid sick leave