Data Analyst (Loyalty & Retention)

Responsibilities

• The work goes well beyond reporting. You’ll segment partners by behavior, run and read experiments, build financial models for new program features, and turn your findings into rules that the Retention, Commercial and Finance teams act on.
• Solid A/B testing: experiment design, power and significance, choosing the unit of randomization, calculating and interpreting results.
• Comfort building financial or scenario models in spreadsheets, with clear assumptions and adjustable parameters.
• Ambitious and supportive team who love what they do, appreciate each other, and grow together.
• A 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.

Languages

Required

• 2-4 years as a data or marketing/product analyst, ideally in e-commerce, travel, fintech or a marketplace.
• 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).

Nice to have

• English level B2+ (written and spoken).
• Hands-on experience with loyalty, CRM, rewards or affiliate program analytics: points economics, liability, redemption and breakage.
• Python for analysis (pandas, scipy, seaborn).
• Experience with dbt and Airflow.

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