aipythonsqlpandasstatisticsa b testingcausal inferencebusiness analyticsdifference in differences
Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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Самостоятельная аналитика для коммерческих решений, поддержка развития и понятная зона ответственности делают вакансию сильной; при этом требования к причинно-следственному анализу довольно высоки для роли с опытом от двух лет.
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Сложная методологияАктуальный стекСвоя зона влиянияПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst (Business Analytics): Analyzing B2B commercial data and developing pricing, credit-limit, and market-entry initiatives with an accent on hypothesis testing, experimentation, and causal inference. Focus on applying difference-in-differences, Causal Impact, and other non-standard methods to measure business and customer impact.
Location: Remote; available locations are Poland, Argentina, Georgia, Kazakhstan, and Indonesia.
Company
hirify.global is a global travel-tech company developing online booking platforms for individual travelers, travel agents, and business-trip organizers across more than 220 source markets.
What you will do
Act as the dedicated analyst for the B2B commercial direction and work independently with the commercial team.
Find growth opportunities in data, form and test hypotheses, and measure the impact of non-product business initiatives.
Support and develop pricing override and cost modifier processes.
Design experiments around B2B partner credit limits to help grow booking volumes.
Evaluate the financial and customer impact of opening local legal entities in new markets.
Choose and apply methods such as A/B testing, difference-in-differences, and causal impact, with support from project managers.
Requirements
2+ years of experience in business, data, or product analytics.
Strong SQL, including efficient, fast-running queries.
Confident Python and data libraries including Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.
Hands-on experience with difference-in-differences.
Experience with causal inference methods, including Causal Impact, Propensity Score Matching, or similar.
Solid knowledge of statistics and experience designing and running A/B tests and other experiments.
Ability to analyze business processes deeply, solve non-standard problems, and work independently.
Fluent Russian and B2 English.
Nice to have
Experience with time series forecasting, including 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.
Culture & Benefits
Flexible schedule and remote work opportunity.
Structured onboarding, a personal development plan, and internal lectures and demos.
Adaptation and training programs, soft-skills development, and leadership training.
Partial compensation for external training and conferences.
Corporate English school with group and individual lessons and speaking clubs.
Corporate prices on hotels and travel services plus an additional paid MyTime Day Off.
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