Emerging Travel Group

Global travel technology platform for bookings

Data Analyst - Loyalty & Retention

Data ScienceConfirmed live in the last 24 hours

Full-timeRemote in ArmeniaNo salary listedRemote

About the Job

Requirements

Requires 2–4 years of experience as a data, marketing, or product analyst; experience in e-commerce, travel, fintech, or a marketplace is ideal.
Must explain findings clearly to non-technical people and turn ambiguous questions into a structured plan.
Requires English proficiency at B2 or higher, written and spoken.
Requires strong SQL skills, including window functions, common table expressions, and query optimization; experience with Vertica, Trino, PostgreSQL, or a similar database.
Requires experience with A/B testing, including experiment design, power and significance, selecting the unit of randomization, and calculating and interpreting results.
Requires experience with a business intelligence tool; Tableau is used, and Looker or Power BI experience is acceptable.
Must be able to work with large, messy datasets where business logic is embedded in free-text fields and edge cases.
Requires 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 so results are repeatable.
Requires comfort building financial or scenario models in spreadsheets, with clear assumptions and adjustable parameters.
Expected to proactively identify inefficiencies in reporting and analysis workflows and address them through automation, reusable queries, or templates.

Responsibilities

Assess whether loyalty and retention mechanics drive additional bookings, evaluate their costs, and determine how to tune them.
Segment partners by behavior.
Run and interpret experiments.
Build financial models for new program features.
Translate analytical findings into rules used by the Retention, Commercial, and Finance teams.

Desired Qualifications

Hands-on experience with loyalty, customer relationship management, rewards, or affiliate program analytics, including points economics, liability, redemption, and breakage.
Experience with segmentation and cohort or retention analysis.
Python for analysis, including pandas, scipy, or seaborn.
Experience with dbt and Airflow.
Experience with methods beyond classic A/B tests, such as causal inference or difference-in-differences.

Data Analyst (Loyalty & Retention)

Emerging Travel Group · Armenia (Remote) · — · Posted 2026-11-05

Workplace: remote

Department: Analytics

Description

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.

Requirements

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).

Benefits

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.

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About the Company

Emerging Travel Group

Global travel technology platform for bookings

Emerging Travel Group is a global travel technology company that builds online booking platforms for individuals, travel agents, and corporate clients. Its main product, RateHawk, lets users search and book hotels, flights, transfers, car rentals, and related services, with the company earning commissions and service fees from bookings. The platform connects travelers with suppliers and hoteliers, who can list their accommodations to gain visibility and reach a larger audience. The company differentiates itself through its large global footprint (operations in over 220 source markets) and its large corporate client base (more than 4,000 companies), as well as offering a broad range of travel services under its brands. The goal is to simplify and improve the travel industry—making travel easier and more rewarding for professionals while broadening access for individual travelers.

Company size: 1,001-5,000
Company stage: Series F
Total funding: $78.8M
Headquarters: Wilmington, DE
Founded: 2010

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