Position: BI analyst / Data analyst
Category: Data Analyst
English level: fluent
Years of experience: 4


- realtime reports for C-level data-driven decisions in Google Looker, QuickSight
- analytics of different ad channels, its profit/loss coefficient, lead/sales conversions
- Jira, gitlab
- creating data pipelines for getting, processing, saving data to database
- reports on sales agents performance
- developing dashboards on existing CRM data
- Technologies used: Python, Pandas, NumPy, SQL, Mongo, AWS S3, docker, Google Looker, Google Analytics 4, GTM, Flask, Amazon QuickSight, Amazon Redshift

- developing dashboard analyzing client segments by different features
- developing hypothesis and key metrics and  designing recommendations to improve marketing campaigns and ads configuration
- Jira, Confluence
- gitlab
Technologies used: Python, Pandas, NumPy, SQL, JupyterNotebook

- building dashboard for marketing analysis like GA 
- creating marketing metrics for dashboard(CPA, visit time, cost per each utm_tag/device type and so on)
- analyzing customer journey
- working with Google Analytics, Mixpanel, Tableau
- building prediction model and market segmentation model
- data preprocessing: feature vectorization and normalization
- Jira, Confluence
Technologies involved: Python, Pandas, Keras, SQL, JupyterNotebook