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
