Position: Data Analyst
Category: Data Analyst
English level: intermediate
Years of experience: 9

Naftogaz of Ukraine:
development and implementation of reporting in the Power BI system; automation of the process of cooperation with collection companies; increasing the volume of informing debtors as well as increasing the level of settlements by improving the current methodology of the collection and by automating the data analysis process; reducing the time of execution of current reporting by automating ETL processes.

Epicentr K:
establishing analytical work of three separate departments; reducing reporting time by creating automated macros; increasing the overall KPI of two trading departments and maintaining the rank for more than 6 consecutive months; reducing the volume of write-offs by introducing a new approach to working with substandard goods; reducing the amount of losses due to the lack of commodity balances by recreating warehouse work.
I have more than 8 years of experience as an analyst. On my work i have using technology such like:
•	Microsoft products (365, Office, PowerPoint, Visio, OneDrive, SharePoint, Outlook, Teams, OneNote…).
•	MS Excel (VBA, Pivot Tables, Power Pivot, Power View)
•	MS Power BI (Power Query, Language M, DAX).
•	SQL. Connection to databases. Select where, Group by, Join and other. Experience with connection to OLAP-cubes or Azure Data Base.
•	MS Power Automate
•	1C:8
•	Python (Anaconda, Jupiter Notebook, Pandas) – beginner, studing now.
•	Work experience with CRM-systems on user level (SendPulse, GMSU, Messagio)
•	Writing technical specification and cooperation with program developers on Jira platform.
•	Other programs and services: Visual Studio, Note++, Diagrams, Trello, AnyDesk, Skype, GoogelTable, GoogleForms, Adobe Photoshop, Gasolina, Potamus.

All my experience is based on the principle of optimizing data collection. Therefore, I regularly look for ways to reduce the time spent on data processing and visualization in order to gain more time for analysis and decision-making.
I want to continue to develop in the field of data analysis, maybe even in data science, so the opportunity to implement and improve my skills is very important to me.