JobsData AnalystUnited StatesData Analyst
Emerging Travel Group
Posted today
Data Analyst
Emerging Travel Group · Georgia, United States
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In short
You will act as a dedicated analyst for the B2B commercial team, identifying growth opportunities and testing hypotheses to measure business impact. Your tasks include developing pricing and cost modifier processes, designing experiments for credit limits, and evaluating the financial impact of new market entries.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
The role requires 2+ years of experience in business, data, or product analytics with strong proficiency in SQL and Python data libraries. Candidates must have hands-on experience with causal inference methods and a solid foundation in statistical experimentation.
About the employer
Emerging Travel Group
Emerging Travel Group is a pioneering travel-tech company operating global booking platforms RateHawk, Roundtrip, and ZenHotels, offering access to 3.3M+ accommodation options in 220 countries. Since 2010, we’ve been proudly building a diverse community of over 3,900+ employees across Europe, the Americas, the Middle East, the CIS, and South Africa, all united in improving travel experience worldwide.
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Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. Privacy policy: https://www.emergingtravel.com/legal/site/cookie-policy Legal notice/ Impressum: https://www.emergingtravel.com/legal/notice
- INDUSTRY
- Travel Arrangements
- COMPANY
- Privately Held
- FOUNDED
- 2010
- HEADQUARTERS
- Wilmington, Delaware
- SIZE
- 1,001-5,000
- OFFICES
- 8 on LinkedIn
KNOWN FOR
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Questions about this role
- Is this Emerging Travel Group role remote?
- Tagged remote.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 2-5 years.
The posting, in full
As a Data Analyst in the Business Analytics team, you’ll be the dedicated analyst for our B2B commercial direction. You’ll work as an independent contributor, side by side with the commercial team. You’ll find growth opportunities in the data, form and test hypotheses, and measure the impact of business initiatives that are not product features. Your first projects will be supporting and developing our pricing override and cost modifier processes, designing experiments around the credit limits we give B2B partners to help grow their booking volumes, and evaluating the financial and customer impact of opening local legal entities in new markets. A/B testing alone often isn’t enough here, so you’ll choose and apply other methods, such as difference-in-differences or causal impact. There is no ready-made playbook. You’ll set your own approach, and project managers on both sides will help you run the work. The role suits a self-driven analyst who wants real ownership and visible impact on commercial decisions, and it can grow as the direction expands.
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As a Data Analyst in the Business Analytics team, you’ll be the dedicated analyst for our B2B commercial direction. You’ll work as an independent contributor, side by side with the commercial team. You’ll find growth opportunities in the data, form and test hypotheses, and measure the impact of business initiatives that are not product features. Your first projects will be supporting and developing our pricing override and cost modifier processes, designing experiments around the credit limits we give B2B partners to help grow their booking volumes, and evaluating the financial and customer impact of opening local legal entities in new markets. A/B testing alone often isn’t enough here, so you’ll choose and apply other methods, such as difference-in-differences or causal impact. There is no ready-made playbook. You’ll set your own approach, and project managers on both sides will help you run the work. The role suits a self-driven analyst who wants real ownership and visible impact on commercial decisions, and it can grow as the direction expands.
- 2+ years of experience in business, data or product analytics.
- Strong SQL, including writing efficient, fast-running queries.
- Confident Python and its data libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn and others.
- Hands-on experience with difference-in-differences.
- Experience with causal inference methods: Causal Impact, Propensity Score Matching and similar.
- Solid knowledge of statistics and experience designing and running A/B tests and other experiments.
- Ability to dive deep into business processes, solve non-standard problems and work independently.
- Fluent Russian and English B2.
Nice to have
- Experience with time series forecasting (Prophet, ARIMA, Exponential Smoothing or similar).
- Experience in B2B, commercial or partner analytics.
- Experience onboarding or mentoring junior colleagues.
- Hands-on use of AI tools, such as Copilot or agents, to speed up your work.
- 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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