Job description
Job Responsibilities
Developing tools for monitoring and analyzing the results of price A/B tests.
Collaborating with the data analysis department and assisting in the development of pricing algorithms.
Studying user behavior in the product and formulating hypotheses for new features of pricing algorithms.
Participating in the preliminary analysis of hypotheses for A/B tests.
Researching and improving methodologies for conducting and analyzing A/B experiments, and enhancing the company’s existing methodologies.
At least 2 years of experience as a pricing analyst or product analyst, with experience in analyzing A/B tests.
Strong command of mathematical statistics methods (confidence intervals, t-test, u-test).
Experience in data analysis using Python (pandas, numpy, scipy, matplotlib/plotly).
Proficient in writing efficient SQL queries.
Possess critical thinking skills and the ability to support conclusions with data.
Knowledge and application of data transformation methods such as Bootstrap, CUPED, and linearization.
Ability to read documentation and quickly learn new technologies.
Proficiency in English at a B1 level.
Flexible schedules and opportunity to work remotely.
Ambitious and supportive team who love what they do, appreciate each other, and grow together.
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.
