Data Analyst (Loyalty & Retention)

Responsibilities

You will analyze loyalty and retention mechanics to drive bookings and optimize program performance. This involves segmenting partners, running experiments, building financial models, and translating findings into actionable rules for cross-functional teams.

Requirements

The role requires 2-4 years of experience as a data, marketing, or product analyst with strong SQL and A/B testing proficiency. Candidates must be able to communicate complex findings to non-technical stakeholders and work effectively with large, unstructured datasets.

Skills

• SQL
• Data analysis
• A/B testing
• Financial modeling
• Tableau
• Python
• Experiment design
• Retention analysis
• Cohort analysis
• Agentic coding tools
• Business intelligence
• PostgreSQL
• Vertica
• Trino
• dbt
• Airflow

Benefits

• Flexible schedules
• Remote work
• Personal development plan
• Internal training
• Soft skills development
• Leadership training
• Partial compensation for external training and conferences
• Corporate English school
• Corporate prices on hotels and travel services
• MyTime Day Off

About this role

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. 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.
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.
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).
Flexible schedules and opportunity to work remotely.
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.
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.

About Emerging Travel Group

Travel Arrangements · 1,001-5,000 employees · headquartered in Wilmington, Delaware · founded 2010