Data Analyst

Posted 4 Days Ago
4 Locations
Remote
Junior
Travel
The Role
Analyze B2B commercial data to identify growth opportunities, design experiments, evaluate pricing and credit-limit initiatives, and measure business impact. Apply SQL, Python, statistical analysis, A/B testing, difference-in-differences, causal inference, and forecasting methods. Work independently with commercial and project teams to support pricing, market expansion, and partner analytics decisions.
Summary Generated by Built In

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.


Requirements
  • 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.

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+ years of experience in business, data, or product analytics
  • Strong SQL skills, including efficient query writing
  • Confident Python skills and experience with Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and similar libraries
  • Hands-on experience with difference-in-differences
  • Experience with causal inference methods, including Causal Impact and Propensity Score Matching
  • Strong statistical knowledge and experience designing and running A/B tests and other experiments
  • Ability to understand business processes, solve non-standard problems, and work independently
  • Fluent Russian and English at B2 level
  • Experience with time series forecasting using 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

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.

  • 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.
  • 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.
  • Healthcare Strength — In the U.S., health insurance with HSA options is described as available for some employees.

Emerging Travel Group Insights

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The Company
HQ: Wilmington, DE
196 Employees
Year Founded: 2010

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.

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