Senior Data Analyst

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 A/B 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 and benefits

• Relocation to company offices in Kazakhstan or Cyprus.
• A 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.