Data Analyst, Loyalty & Retention

This is a fully remote position, open to applicants in Armenia, +2 more countries.

📋 Description

• Categorize partners based on their behavior.

• Conduct and analyze experiments.

• Develop financial models for new program features.

• Evaluate whether loyalty and retention strategies lead to increased bookings.

• Analyze the costs associated with loyalty and retention strategies.

• Adjust program mechanics based on analytical insights.

• Transform findings into actionable guidelines for the Retention, Commercial, and Finance teams.

⛳️ Requirements

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

• Ability to communicate findings clearly to non-technical audiences and convert ambiguous questions into structured plans.

• Proficient in English at a B2+ level (both written and spoken).

• Strong SQL skills: including window functions, CTEs, and query optimization. Familiarity with Vertica, Trino, PostgreSQL, or similar databases.

• Solid understanding of A/B testing including experiment design, power and significance, determining the unit of randomization, and interpreting results.

• Experience with a BI tool; we utilize Tableau (experience with Looker or Power BI is also acceptable).

• Ability to work with large, unstructured data where business logic may be hidden in free-text fields and edge cases.

• Practical experience with Claude Code or comparable agentic coding tools (Cursor, Copilot, etc.): crafting effective prompts, engaging with agents, and maintaining project context files (e.g., CLAUDE.md) for reproducible results.

• Comfort in constructing financial or scenario models using spreadsheets, complete with clear assumptions and adjustable parameters.

• Proactive mindset: you identify inefficiencies in reporting and analysis processes and address them independently (automation, reusable queries, templates), rather than waiting for direction.

• Nice to have: Practical experience with loyalty, CRM, rewards, or affiliate program analytics including points economics, liability, redemption, and breakage.

• Nice to have: Experience in segmentation and cohort or retention analysis.

• Nice to have: Proficiency in Python for analysis (pandas, scipy, seaborn).

• Nice to have: Familiarity with dbt and Airflow.

• Nice to have: Knowledge of methods beyond traditional A/B testing (causal inference, difference-in-differences).

🏝️ Benefits

• Flexible work schedules and the option to work remotely.

• An ambitious and supportive team that is passionate about their work, values each other, and grows together.

• A well-structured onboarding process, a personalized development plan, and regular internal lectures and demonstrations from the team.

• Internal programs for adaptation and training, focusing on the development of soft skills and leadership capabilities.

• Partial reimbursement for participation in external training and conferences.

• Corporate English school offering group and individual lessons, as well as speaking clubs with colleagues worldwide.

• Corporate discounts on hotels and travel services.

• MyTime Day Off - an additional non-working day without loss of pay.