— 3+ years in Data Analysis / Data Science / Data Engineering;
— 2+ years of experience with BI analytical tools (Tableau / Qlik / Power BI, etc.);
— Strong knowledge of SQL;
— Strong analytical and data visualization skills;
— Understanding of the principles of building data storages;
— Ability to work with large amounts of data;
— English on the level of reading and writing technical documentation.

— Mathematical statistics;
— Python / R / Scala / Java;
— Building machine learning models;
— Linux systems;
— Spark, Kafka;
— Non-relational databases.

Professional and personal growth:
— Сhallenging, fast moving and unique tasks in the FinTech field with our own product;
— Ability to be close to the business and take a part in making fast decisions;
— Resources for integration into the domain;
— Sponsored participation in professional conferences;
— Partial compensation of language courses expenses;
— Corporate library;
— Regular team retrospectives.

Work conditions:
— Full accounting support and taxes compensation;
— Flexible schedule;
— Competitive compensation;
— Cozy office in the city center (1 minute from Pecherskaya metro station);
— Paid vacations, sick-leaves, public holidays, ability to take days off;
— Corporate equipment;
— Partial compensation of gym expenses;
— Free snacks, fruits and drinks;
— Regular corporate events;
— Relocation expenses coverage for nonresident employees.

— Participation in the implementation of BI systems;
— Working with analytical systems;
— Building dashboards;
— Setting up a monitoring / data analysis system;
— Making predictions with ML;
— Enabling data-driven business decisions;
— Definition of anomalies;
— Drawing up requirements for engineers;
— Formation of documentation.