Product Analyst Senior / Lead [X-Sell]
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 119d ago
The date the source published, not the day we noticed it (2026-05-18). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Available worldwide
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 11d ago · last seen 1h ago
The listing
We are building the next generation of our X-Sell system and are looking for a Product Analytics Senior/Lead 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 Mexico with full visa & permit support to the employee and family
- Flexible work from our office
- 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