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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная позиция среднего уровня в крупной travel-tech компании с экспериментами и влиянием на продукт; при этом неясно, сколько времени будет уходить на моделирование, а сколько на отчётность.
?Много отчётности
Сильная аналитическая база
Крупная компания
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist II, Product & Technology Analytics (SQL, Web Analytics, Tableau): Driving data-driven decisions for a B2B travel product and technology business through statistical analysis, scalable reporting, and business case development with an accent on partner performance, experimentation, and causal inference. Focus on transforming diverse data sources, building dashboards, and translating complex analyses into actionable recommendations for cross-functional stakeholders.
Location: Madrid, Spain
Salary: €43,000–€60,500 annually, with potential pay up to €69,000 based on sustained performance.
Company
hirify.global is a global travel company operating consumer brands, a B2B travel business, and travel advertising offerings.
What you will do
Perform deep-dive analyses and statistical tests to identify performance drivers for partners and provide actionable recommendations.
Extract, transform, and combine data from diverse sources to build models and analyses.
Translate stakeholder needs into clearly scoped analytical solutions.
Create visualizations and data stories that support data-driven decisions.
Automate recurring reporting by building scalable dashboards.
Develop data-driven business cases for strategic initiatives.
Requirements
At least 2+ years of analytical experience in a data-rich commercial environment such as online travel, e-commerce, or banking.
Strong communication skills and the ability to explain complex analyses to diverse audiences.
Proficiency in SQL, including writing queries from scratch, finding relevant data, and interpreting existing code.
Proficiency with web analytics tools such as Google Analytics or Adobe Analytics.
Experience with data visualization tools such as Tableau.
Experience evaluating product impact with experimentation frameworks and causal inference methods, including A/B testing and quasi-experiments.
Collaborative approach and a track record of delivering data-driven insights and recommendations that produced positive change.
Nice to have
Python experience.
Culture & Benefits
Full-time regular employment in a supportive environment focused on Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together.
Medical, dental, and vision coverage, paid time off, and an Employee Assistance Program.
Wellness and travel reimbursement, travel discounts, and IATAN membership.
Inclusive and accessible recruiting experience with accommodation support available during the application process.
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