Build your Career
in the Travel Tech industry

In the first three months:

• Understand how our business operates—get familiar with Russian and international brands, meet key stakeholders, and learn about the work of other analytics teams.

• Analyze the current state of marketing analytics—understand which metrics we track to evaluate campaign effectiveness and what tools are currently in development.

• Validate the first econometric models we built in previous years, including regression models and the more advanced Robyn model.
• Dive deeper into the data through various ad-hoc requests to understand its specifics.

After onboarding into the processes:

• Contribute to the development of new econometric and predictive models to assess the impact of the marketing mix and other external factors on the company’s business metrics.

• Develop models for marketing budget planning and allocation—it would be great if you have experience in creating user-friendly "budget calculators" that the marketing team can utilize.

• Analyze our branded online activities, such as post-click and post-view analytics of our display advertising placements.

• Evaluate various marketing experiments, including design, validation, timelines, and results. Right now, for example, we are particularly interested in understanding how much budget should be allocated to branded search ads—we want to avoid cannibalizing our organic traffic while also recognizing that competitors are increasingly trying to attract our users.

• 1.5–2 years of experience in developing econometric and predictive data models.
• Understanding of marketing principles and key metrics.
• Experience in building econometric and predictive models.
• Practical application of statistical data analysis methods, including predictive modeling, regression, clustering, and time series analysis.
• Proficiency in Python (preferred) or R.
• Strong SQL skills—you’ll be working extensively with complex queries. It’s a big plus if you know how to retrieve data efficiently while minimizing server load.
• Critical thinking skills—you can support conclusions with data and always strive to understand the real value of a task.
• Ability to establish effective communication with members of other teams.
• English proficiency at B1 (Intermediate) level.

Nice to have:

• Experience in marketing analytics for digital products, understanding of marketing data structures, and performance channel mechanics.
• Experience conducting A/B tests—from experiment design to decision-making based on results.

• Exciting projects: We create products for travelers, travel agents, and hoteliers worldwide.
• Complete flexibility to achieve results: Flexible schedule, remote work, or office—you decide where and when to work.
• Innovative approach and thirst for new ideas: For example, we solve some tasks using AI.
• Ostrovok! Tech community: We host meetups, hackathons, participate in conferences, and support even the boldest ideas.
• Professional development: We help employees speak at conferences—from submitting applications to preparing presentations.
• Employee well-being: From the first month, our employees receive private health insurance (DMS) and discounts on the “Yasno” mental health service.
• Tailored onboarding and training programs, as well as soft skills and leadership development designed for each employee individually.
• Partial reimbursement for external training and conferences.
• English language learning: Corporate group classes, conversation clubs, and discounts on Skyeng courses.
• Corporate rates on hotels and other travel services—so our employees can travel more often.
• Ostrovok is an accredited IT company.