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Data Analyst, Loyalty & Retention

🔥 12 hours ago

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🚫👨‍🎓 No degree required

Where this job comes from

Posted on Emerging Travel Group's careers page, not through a job board

First seen by Remote Rocketship 12 hours ago

Still open on Emerging Travel Group's site. Checked 1 hour ago.

Logo of Emerging Travel Group

Emerging Travel Group

1001 - 5000 employees

Founded 2010

🏨 Hospitality

📦 Logistics

🛍️ eCommerce

Hospitality • Logistics • eCommerce

Emerging Travel Group is a leading provider of advanced online booking platforms tailored for individual travelers, travel agents, and corporate clients. They empower hoteliers to enhance visibility and attract a wider customer base through their comprehensive travel solutions, which include over 2. 9 million accommodations, flights, transfers, and car rentals across 190 source markets. With a focus on technology excellence, Emerging Travel Group serves a vast network of travel agencies and corporate clients, enabling seamless travel management and collaboration in the dynamic travel industry.

📋 Description

• Segment partners by behavior. • Run and interpret experiments. • Build financial models for new program features. • Determine whether loyalty and retention mechanics drive more bookings. • Assess the costs of loyalty and retention mechanics. • Tune program mechanics based on analysis. • Turn findings into actionable rules for Retention, Commercial and Finance teams.

🎯 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. • Nice to have: Experience with segmentation and cohort or retention analysis. • Nice to have: Python for analysis (pandas, scipy, seaborn). • Nice to have: Experience with dbt and Airflow. • Nice to have: 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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