Position: Lead Data Analyst
Category: Marketing
English level: fluent
Years of experience: 4


Accomplished to set up the whole analytics pipeline from scratch which company is still using today;

Comprehensive LTV analysis for mobile and web products, including methods such as cohort analysis, decomposition, segmentation, retention analysis and machine learning algorythms;

Design and impementation of LTV prediction models from scratch;

A/B- and multivariative tests design, including sample size calculation, observanse of neccessary conditions for tests, and
analysis using statistical methods, over 100 tests analysed for various mobile apps and websites;

Routine tasks automation using Python and SQL which lead to significant time saving allowing to switch to other important
analytics tasks;

Dashboard design and deploying using, at first Tableau, and then Python framework Dash which allowed for showing even
more complex concepts with the use of machine learning algorythms in LTV prediction than Tableau or PowerBI can afford;

Close work with back-end engineers regarding ETL processes using Python scripts to request and extract neccessary data from various APIs to our data warehouse;

Design of event structure throughout all team projects and communication to dev team of event concepts and ideas;

Ad hoc analysis for any team member from CEO to developers;
Conducted 50+ interviews for our team, which resulted in all the candidates employed successfully passed their probation periods and all of them have worked at least a year in their respective positions and no person was fired due to lack of competence;