Data Analyst (Loyalty & Retention)

Emerging Travel Group

3d

About The Position

The Data Analyst will work on loyalty and retention mechanics, determining whether a mechanic drives additional bookings, what it costs, and how it can be optimized. The role goes beyond reporting: it involves segmenting partners by behavior, designing and interpreting experiments, building financial models for new program features, and translating findings into actionable rules for the Retention, Commercial, and Finance teams.

Requirements

• 2–4 years of experience as a data, marketing, or product analyst.
• Ability to explain findings clearly to non-technical audiences and turn ambiguous questions into structured plans.
• English proficiency at B2 level or higher, written and spoken.
• Strong SQL skills, including window functions, CTEs, and query optimization; experience with Vertica, Trino, PostgreSQL, or similar databases.
• Solid A/B testing skills, including experiment design, power and significance, selection of the randomization unit, and calculation and interpretation of results.
• Experience with a BI tool; Tableau is used by the team, and Looker or Power BI experience is also acceptable.
• Ability to work with large, messy datasets where business logic may be embedded in free-text fields and edge cases.
• Hands-on experience with Claude Code or similar agentic coding tools, including writing effective prompts, working with agents, and maintaining project context files such as CLAUDE.md to make results repeatable.
• Comfort building 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 Haves

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

Responsibilities

• Evaluate whether loyalty and retention mechanics increase bookings, assess their costs, and identify ways to optimize them.
• Segment partners based on their behavior.
• Design, run, and interpret experiments, including A/B tests.
• Build financial or scenario models for new program features.
• Translate analytical findings into actionable rules for the Retention, Commercial, and Finance teams.
• Improve reporting and analysis workflows through automation, reusable queries, and templates.

Benefits

• Flexible schedules and the opportunity to work remotely.
• Structured onboarding, a personal development plan, and regular internal lectures and team demos.
• Internal programs for adaptation and training, soft skills, and leadership development.
• Partial compensation for external training and conference participation.
• Corporate English school offering group and individual lessons and speaking clubs with colleagues around the world.
• Corporate prices on hotels and travel services.
• MyTime Day Off: an extra paid non-working day.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed