Position: Senior Data Analyst / Engineer
Category: Data Analyst
English level: fluent
Years of experience: 10

Latest one - created and implemented AWS-based data warehouse solution for iOS/Android including:
- automated ETL jobs between S3 and Redshift to keep the warehouse up-to-date with minimum manual labor
- marketing attribution model using several third party attribution data (merging sources into single data model, dealing with raw data ETL's and data warehouse data consistency)
- pre-calculated tables for most frequently used entities for cohort and time-series analysis: user, acticity day, daily cohort etc.

Have CRM implementation experience in a role of a solo Data Engineer (iOS and Android platforms, live product with no server shutdown, legacy data backfill etc.)

Previously - leading role in a team responsible for new product users acquisition: design and development support of 30+ product AB-tests, coaching of new Data Analyst assigned to a team, developed a set of dashboards from initial data model creation to final visualization. 
During last few year: successful seamless integration of mParticle service to live iOS app in a role of Data Engineer.

In general: having background as Technical Game Designer worked as Data Analyst in several leading Game Development companies. Main qualification covers marketing and product data analytics. Also have some experience in related fields: Data Engineering, ad hoc reporting and BI dashboards development. Minor experience in scientifically challenging tasks: regression models, multi-dimensional clusterization, neural networks.
Nine years of Data Analysis experience in Game Dev and Marketing domains of which 4 years in Lead Data Analyst role in small-to-medium data teams.
Working experience in several European countries, different company sizes (from start-up to big corpo), different production cultures (classical hierarchy, horizontal, squad/tribe model). Data engineering experience.
Prefer AWS or GCP tech stack but also ok with new technologies.
Currently looking for some long-term interesting product data analysis project or management experience in small-to-medium teams. Data Science or Engineering assignments are also a point of interest (though my profile is closer to Data Analysis domain).