The Ride-hailing department is looking for a Senior Data Analyst with a bias toward forecasting and time series analysis tasks to join the Operations Analytics team.

Responsibilities:

• engage in the forecasting of key metrics based on econometric approaches and basic ML to solve monitoring, planning, and impact assessment problems;

• develop methodology and tools for working with time series;

• evaluate the effect of business changes using AB tests and causal inference techniques, through alternative forecasting;

• assist the business in generating, prioritizing, and validating hypotheses;

• generate insights and functional requirements for analytic products.

Requirements:

• basic knowledge of probability theory, mathematical statistics and experience in its application;

• skills in evaluating hypotheses, analyzing and structuring data, drawing conclusions, and finding relationships in data;

• experience in forecasting, smoothing, seasonal-trend decomposition etc. Possible participation in the development of a framework\internal platform for forecasting;

• practical experience in applying various methods of causal inference estimation, using EconML, CausalImpact, CausalMl libraries etc.;

• proficient use of SQL (we have BigQuery) and Python for data analysis (NumPy / SciPy / Pandas);

• experience mentoring / coaching a team.

Conditions:

• relocation to company offices in Kazakhstan or Cyprus;

• modern MacBook Pro and other equipment necessary for work;

• unlimited opportunities for professional and career growth, regular external and internal training from our partners;

• partially or fully paid additional training courses, English classes with a teacher in the office;

• personal growth programs in which we set goals and move towards them together;

• become part of an international team of professionals and just good people who together create one of the coolest success stories in the global IT industry.