Data Analyst (Loyalty & Retention)

Location: Remote; available locations: Armenia, Georgia, or Uzbekistan

Company

hirify.global is a global travel-tech company developing online booking platforms and travel products for tourists, travel agents, and business-trip organizers across more than 220 source markets.

What you will do

• Analyze loyalty and retention mechanics to determine their impact on bookings, costs, and customer behavior.
• Segment partners by behavior and design, run, and interpret experiments.
• Build financial and scenario models for new loyalty-program features.
• Translate findings into actionable rules for Retention, Commercial, and Finance teams.
• Improve reporting and analysis workflows through automation, reusable queries, and templates.

Requirements

• 2–4 years of experience as a data analyst or marketing/product analyst, ideally in e-commerce, travel, fintech, or a marketplace.
• Ability to explain findings clearly to non-technical stakeholders and structure ambiguous questions into actionable plans.
• English at B2+ level, written and spoken.
• Strong SQL, including window functions, CTEs, and query optimization; experience with Vertica, Trino, PostgreSQL, or similar databases.
• Strong A/B testing skills, including experiment design, power and significance, randomization units, and result calculation and interpretation.
• Experience with a BI tool; Tableau is used, while Looker or Power BI experience is also acceptable.
• Ability to work with large, messy datasets containing free-text business logic and edge cases.
• Hands-on experience with Claude Code or similar agentic coding tools, including effective prompting, working with agents, and maintaining project context files such as CLAUDE.md.
• Ability to build financial or scenario models in spreadsheets with clear assumptions and adjustable parameters.
• Proactive approach to identifying and fixing inefficiencies in reporting and analysis workflows.

Nice to have

• Experience analyzing loyalty, CRM, rewards, or affiliate programs, including points economics, liability, redemption, and breakage.
• Experience with segmentation, cohort analysis, or retention analysis.
• Python for analysis, including pandas, scipy, and seaborn.
• Experience with dbt and Airflow.
• Experience with causal inference, difference-in-differences, or other methods beyond classic A/B testing.

Culture & Benefits

• Flexible schedules and remote work opportunities.
• Structured onboarding, a personal development plan, internal lectures and demos, and training programs.
• Support for soft-skills and leadership development.
• Partial compensation for external training and conferences.
• Corporate English school with group and individual lessons and speaking clubs.
• Corporate prices on hotels and travel services, plus an additional paid MyTime Day Off.