Position: Junior Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 0.5

- Considering my relevant experience in the finance sphere, I have dealt with the numeris types of reports and know the dependencies between verious metrics to assess the project's or company's results.
- I'm a fast learner and have grown from an intern to Senior Auditor for 3 years, taking responsibilities and managing the projects and team of 3 people. 
- As a Data analyst, I have successfully compteted a conciderable amount of analytical projects using various instruments and tools such as SQL, BigQuery, Tableau, Looker Studio to extract meaningful information from extensive datasets.
Performance driven and responsible person with 5 years’ background in working with financial data as an auditor and finance manager. Being an auditor, I developed my analytical skills and ability to find suspicious figures in companies datasets from different industries such as agro, retail, advertising, production. At my current position as finance manager, I gained valuable experience in dealing with financial and management data, projects' profitability analysis, creating well-structured reports for decision making.

Now I decided to take the path of developing myself in the analytical sphere as a Data Analyst using and developing my gained experience, widespread tools, and instruments. Processing raw data, its verification, structuring, analyzing, and turning it into actionable insights brings me personal satisfaction. 

I have experience in working with the main analytical and visualization tools such as Excel, Google Sheets, PostgreSQL, Oracle Database, GoogleBigQuery, Looker Studio, Tableau, etc. 
During improving my knowledge of data analysis I’ve made several personal projects:

- AdCampaigns analytical overview:
The project focuses on analyzing advertising campaigns from Google and Facebook. To combine the data from several sources it was used various functions and operations in GoogleBigQuery such as CTE, join and union of tables as well as aggregation. Leveraging SQL and Looker Studio, this project extracts and analyzes data to evaluate the performance and effectiveness of ads. It includes metrics like spend, impressions, clicks, CPC, CPM, CTR, ROMI and their monthly distribution.

- Revenue analytical overview:
The visualization was made in Tableau and shows the main information about the revenue distribution in terms of products, locations, users, and periods. There is a box plot showing the main statistical measures of revenue such as minimal, maximal amount and median values for each region. This project helps to assess the Company’s sales and identify its weakness and growth. 

- Games metrics overview:
An analytical dashboard shows product metrics such as monthly average time per user, distribution of spent time among age bins, shares of users in battle pass activity. It helps to understand the groups of our target audience and define the most loyal to product users. An aggregation of data was made using calculated fields (string, date, type conversion, logical, aggregation functions), LOD expressions, quick table calculations in Tableau.
Seeking opportunities to join the friendly and open minded team to work on exciting and chalenging projects. As a Data analyst I want to make a meaningful impact to the Company growth and develop my skills and knowledge surrounded by the team of professionals.