Position: Data Analyst / Data Engineer
Category: Data Analyst
English level: fluent
Years of experience: 8

• Build Pipeline systems with unique UI jobs monitoring , high loaded systems;
• Build Data transfers with detailed user's behaviour data from GA/Firebase to Bigquery;• Establish reporting schema and main principles. • Develop and monitor KPI’s calculation schema, logic and provide reports (in Tableau and Excel). • Apply advanced analytics and machine learning algorithms to reveal insights and build forecasts (with Python and Excel). • Develop statistical models to measure company performance (Tableau). • Product strategy development • Coordinate of work of development team Tools used: Python, Tableau, SQL, MySQL,  AWS, POstgresql.
- Build analytics systems and data pipelines from zero, using Python Flask  as back end  and huge variants of libraries for data visualization and analysis;
- Develop a unique system of influencers' marketing analysis from own idea to currently working produce. 
 - Programming languages: Python
- Statistic languages: Python (middle+) ;
- Machine learning; - Neural networks (middle): - DB: Mysql (advanced), PostgresSQL, Amazon Redshift; - BI - Tableau (advanced)
- Experience with AWS, ETL construnction - Machine learning (K-means , C-means clustering, logistic regression, predictive analytics). -Project management; - Grow up the project from idea to 500 000 active users and retention of day 30 around 50 % - Establish CRM system from 0 to production - Establish analytics department from 0
Looking for project of team, who results oritnted, have a huge development speed without lasy persons , who want to launch a lot of AB tests, take passion from insights and orient on client and monetizaion of product