Position: Data Analyst / BI Developer / Analytics Engineer
Category: Python
English level: fluent
Years of experience: 5


Currently:
 Designing, developing and maintaining the analytical DWH using state-of-the-art data stack (dbt, Snowflake, Docker, Airflow)
 Building and deploying custom tools for solving various business problems
 Creating visualisations and dashboards in Sisense for Cloud Data Teams (prev. Periscope Data and Amazon Quicksight)

Previously:
 Prototyping, building and maintaining BI and Self-Service Analytics tools for Product and Marketing Stakeholders
Conceptualizing, designing and implementing ETL processes and data pipelines to integrate internal and external data sources
Continuously improving reporting and analysis tools
Owning and controlling end-user data exposure, transformation, and processing from various sources
Requesting, transforming and analysing data from different sources using the Spark Python API (PySpark)
 Integrating data via various APIs and Azure Data Lake
 Aggregating data and performing cohort analysis to answer business needs
 Writing SQL tables and using them for recurring data needs
 Creating insightful charts dashboards using Looker
 Specifying and communicating data infrastructure needs to the data engineering team
 Reporting/analysis of various KPIs to help refine the ad monetisation strategy and achieve growth