Position: Data Analyst
Category: Data Analyst
English level: pre
Years of experience: 2

SQL (JOIN, aggregate function, window function);
Excel (Function, group table, VBA);
Python (OOP, API, JSON);
Analytical skills, Data Visualisation, statistics, ability to learn quickly, Data Science, Git, Data Analisys, Jupyter Notebook, Self-organized, Report Automation.
- Experience in the business process of the financial sector
- Development and support automated reports based on information retrieved from databases, and open data (XML, CSV, JSON files, API, and parsed sites).
- Creating automated reports in excel and AWS QuickSight.
- Creating dashboards in AWS QuickSight.
- Analysis of business processes, and interaction with the marketing department.
-  Loan portfolio & loans collateral analysis.
- Created automated processes from scratch. Automated key monthly/weekly reports and routine tasks using Python.
**Highlights**
- Created a full cycle of data analysis processes from scratch: parsing/extraction, processing, visualization, and creation of insights reports.
**Looking for**
-An environment that stimulates personal and professional growth, as well as complex tasks for automating processes, working with databases. The data science assignments are also interesting.
I want to work in database development and Python development.