Job Description

We’re looking for a Data Analyst to work on our loyalty and retention mechanics. You’ll tell the team whether a mechanic actually drives more bookings, what it costs, and how to tune it. The work goes well beyond reporting.

Responsibilities:
  • Segment partners by behavior
  • Run and read experiments
  • Build financial models for new program features
  • Turn findings into rules that the Retention, Commercial and Finance teams act on
Required Qualifications:
  • 2-4 years as a data or marketing/product analyst, ideally in e-commerce, travel, fintech or a marketplace
  • Explains findings clearly to non-technical people and turns ambiguous questions into a structured plan
  • English level B2+ (written and spoken)
  • Strong SQL: window functions, CTEs, query optimization. Experience with Vertica, Trino, PostgreSQL or similar
  • Solid A/B testing: experiment design, power and significance, choosing the unit of randomization, calculating and interpreting results
  • Experience with a BI tool: we use Tableau (Looker or Power BI experience is fine too)
  • Can work with large, messy data where business logic hides in free-text fields and edge cases
  • Hands-on experience with Claude Code or similar agentic coding tools (Cursor, Copilot, etc.): writing effective prompts, working with agents, and maintaining project context files (such as CLAUDE.md) so results are repeatable
  • Comfort building financial or scenario models in spreadsheets, with clear assumptions and adjustable parameters
  • Proactive approach: you spot inefficiencies in reporting and analysis workflows and fix them yourself (automation, reusable queries, templates), rather than waiting to be asked
Benefits:
  • Flexible schedules and opportunity to work remotely
  • Ambitious and supportive team who love what they do, appreciate each other, and grow together
  • Structured onboarding, a personal development plan, and regular internal lectures and demos from the team
  • Internal programs for adaptation and training, development of soft skills, and leadership abilities
  • Partial compensation for participating in external training and conferences
  • Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world
  • Corporate prices on hotels and travel services
  • MyTime Day Off - an extra non-working day without loss of compensation
Nice To Have:
  • Hands-on experience with loyalty, CRM, rewards or affiliate program analytics: points economics, liability, redemption and breakage
  • Experience with segmentation and cohort or retention analysis
  • Python for analysis (pandas, scipy, seaborn)
  • Experience with dbt and Airflow
  • Methods beyond classic A/B tests (causal inference, diff-in-diff)
Skills:
  • Segmentation and cohort or retention analysis
  • Python for analysis (pandas, scipy, seaborn)
  • Experience with dbt and Airflow
  • Methods beyond classic A/B tests (causal inference, diff-in-diff)
  • Building financial or scenario models in spreadsheets
  • Writing effective prompts for agentic coding tools
  • Maintaining project context files
Technologies:
  • SQL (window functions, CTEs, query optimization)
  • Vertica
  • Trino
  • PostgreSQL
  • Tableau
  • Looker
  • Power BI
  • Claude Code
  • Cursor
  • Copilot
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