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.
Skills Required
- 2-4 years of experience as a data analyst or marketing/product analyst
- Experience in e-commerce, travel, fintech, or marketplace environments
- Ability to explain findings clearly to non-technical stakeholders and structure ambiguous questions
- English proficiency at B2 or higher, written and spoken
- Strong SQL, including window functions, CTEs, and query optimization
- Experience with Vertica, Trino, PostgreSQL, or similar databases
- Knowledge of A/B testing, experiment design, statistical power, significance, randomization units, and result interpretation
- Experience with a BI tool such as Tableau, Looker, or Power BI
- Ability to work with large, messy datasets and complex business logic
- Hands-on experience with Claude Code or similar agentic coding tools
- Ability to build financial or scenario models in spreadsheets
- Proactive improvement of reporting and analysis workflows through automation and reusable tools
- Experience with loyalty, CRM, rewards, or affiliate program analytics
- Experience with segmentation, cohort analysis, or retention analysis
- Python experience with pandas, scipy, or seaborn
- Experience with dbt and Airflow
- Experience with causal inference or difference-in-differences methods
Emerging Travel Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Emerging Travel Group and has not been reviewed or approved by Emerging Travel Group.
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Wellbeing & Lifestyle Benefits — Remote-first arrangements and flexible schedules are highlighted across brands, and corporate prices on hotels and other travel services provide an industry-specific perk. Learning supports such as a corporate English school and partial reimbursement for courses and conferences complement the lifestyle-oriented package.
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Leave & Time Off Breadth — An extra paid “MyTime Day Off” once per quarter is described to support work–life balance. Generous PTO, paid sick days, and paid holidays are also referenced on third‑party listings.
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Healthcare Strength — In the U.S., health insurance with HSA options is described as available for some employees.
Emerging Travel Group Insights
What We Do
Emerging Travel is an online travel group based in Delaware, USA. The company operates brands RateHawk, ZenHotels and RoundTrip in 180+ source markets. Our products help customers select and book all types of accommodation from over 1.7 m options in 220 countries. Our goal is to enable customers to plan all aspects of travel for work and for pleasure. Emerging Travel Group has been founded in 2010, and today employs more than 1 200 people across Europe, CIS, Middle East, and South Africa in roles ranging from product and business development to specialized multilingual customer support for all our customers, whether they are trade partners or individuals simply booking their hotels online. Our mission is to enrich everyone’s travel experience around the world through cutting edge technology and excellent customer service.
