Position: Data Analyst
Category: Data Science
English level: intermediate
Years of experience: 2.5


- data collection, preparation, and validation from several data sources
- automation of regular reporting
- building dynamic data marts from several business entities
- building analytic dashboards (Apache Superset, Metabase, Grafana)
- experience with data storage (hands-on experience with GCP: Cloud Storage, BigQuery)
- develop, support, and monitoring ETL pipelines (Airflow) 
- building different types of data analysis and deliver to customers: basic statistics, ad-hoc, LTV calculation, EDA, cohort analysis, RFM, anomaly detection, clustering clients, etc. 
- creation and support of project documentation (Confluence, Wiki,  Sphinx)
- collaboration with the backend and data engineering teams
- supporting other departments and projects with analytical calculations
2+ years of proven experience. Looking for a Data Analyst position where my analytical, data engineering, and data science skills would be an asset.