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


As a Data Analyst at "Фасоль" retail chain in Tyumen (January 2022 to March 2023), I collected, cleansed, and analyzed large data volumes using SQL, Python, 1C, and Excel. I developed informative reports, dashboards, and charts with Power BI, matplotlib, Plotly, and Excel. I provided recommendations based on data analysis to enhance business processes and strategic decisions. I managed databases, optimized queries, and used machine learning for forecasting and risk analysis. Collaboration with various teams was crucial for project success.

Notable achievements include optimizing processes, improving decision-making through new analysis methods, and creating impactful dashboards and reports. I completed successful forecasting and optimization projects, automating data analysis processes. Additionally, I contributed to developing and implementing tools and technologies for improved data management.

Previously, as a Data Analyst at "Смешные Цены" retail chain in Omsk (Sep 2018 to Jan 2022), I collected sales, inventory, and financial data using 1C. I analyzed financial indicators, created reports, and visualized data in Excel, PowerPoint, and Word. I developed sales forecasts and optimized inventory planning. Using graphical tools, I created infographics and dashboards for key performance indicators.

Overall, my experience in the retail industry has honed my skills in data analysis, visualization, forecasting, and communication. I prioritize accuracy, reliability, and timeliness of data to support efficient business processes and informed decision-making.