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

I am interested in and study information design. I believe that, in addition to the quality of information, the correct coverage and presentation of information for the end user is equally important.
I have about two years of experience in IT as a business(data) analyst in one of the largest companies in Ukraine. My work is related to tracking and reporting on the company's P&L, working with a set of MS tools (Excel, Word, PP), Google (Sheets, Slides), and BI tools (Looker).

Extensive and big experience (10 years) in teamwork, working with people, and the human factor.
Experience in dealing with large amounts of information under pressure.Ability to set priorities.
Experience with human resources and the ability to make quality use of human and other resources.
Basic knowledge of computer science and networking.

Honest and open person, with rich and divorce experience. I want to learn and discover something new.
Collecting, analyzing, and summarizing the data necessary to identify trends and patterns, and then providing recommendations for business actions. Working with different types of data (P&L, Labor costs, Expenses, etc.).Working with large amounts of information (we support the activities of about 1000 people). Among the achievements, I can mention the introduction of BI tools in the daily work of directors, as well as the simplification and automation of monthly and quarterly reports.

Key Responsibilities:
- providing reports through office applications to improve business processes
- collaborating with team members for the purpose of collecting data and executing the company’s mission
- creating and maintaining documentation that includes the design, requirements and user manuals for the organization
- identifying the development needs for the purpose of streamlining and improving the operations of the organization for efficiency and profitability
- collecting and analyzing distributed data from a large group of people (about 100 documents from different managers)
- regular data auditing, error detection (automatic, semi-automatic, and manual), correction, or pointing to errors.
- Export, import, and integration data
- consolidation of data from multiple sources, conversion to BI-friendly format
- the creation of automatic reports for daily use, as well as for regular presentations, based on Google Data Studio (Looker)
- Assistance in implementing similar tools in other departments of the organization