Сервіс пошуку роботи №1 в Україні
Ігор
Аналітик закупівель
- Вік:
- 22 роки
- Місто проживання:
- Львів
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: ТелефонЕл. пошту
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/17468910/
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IHOR MUKHA
Data Analyst
Remore [відкрити контакти ](див. вище в блоці «контактна інформація») [відкрити контакти ](див. вище в блоці «контактна інформація») linkedin github
SUMMARY
Data Analyst with 2+ years of experience in processing large datasets, building complex
analytical models, and optimizing business processes. Expert in Excel (advanced formulas,
pivot tables, data modeling) and Python-based data analysis. Strong background in
mathematics and optimization enables effective forecasting of inventory levels, analyzing
"out-of-stock" (deficiency) vs "overstock" situations, and automating supply chain
reporting. I am looking for a role as an analyst-purchaser who will apply strategic thinking
and data-driven insights to improve procurement efficiency.
Seeking an Analyst-Purchaser position with an expected salary of 1 050 USD.
SKILLS
Advanced Excel & BI: Complex Formulas (VLOOKUP, INDEX/MATCH, SUMIFS, Pivot Tables),
Data Modeling, Dashboards, VBA for automation.
Data Analysis & Python: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, Statistics &
Hypothesis testing.
Supply Chain Analytics: Inventory optimization, demand forecasting, procurement analysis,
logistics data processing.
SQL & Databases: PostgreSQL, MySQL, Query optimization, Data extraction for reports.
Data Pipelines: ETL processes, workflow automation, data cleaning and validation.
Mathematics: Statistics, Probability Theory, Optimization Methods (key for stock
management), Linear Algebra.
Tools & DevOps: Docker, Git, Linux, AI Tools (ChatGPT/Prompt Engineering for process
speed-up).
Soft Skills: Strategic thinking, proactive problem solving, cross-departmental
communication (sales/logistics), negotiation-ready.
EXPERIENCE
Research Assistant in Data Analytics (September 2023 – March 2025). Developed
analytical algorithms for processing large datasets and inventory optimization. Used
statistical methods to forecast demand and identify stock deficiencies. Automated
reporting systems using Excel and Python to improve procurement accuracy.
Analytical project on commercial data (January 2025 – June 2025). Created ETL processes
and analytical models for supply chain management. Performed deep analysis of "out-of-
stock" and "overstock" trends, optimized stock levels, and built complex Excel-based
dashboards for procurement monitoring.
EDUCATION LANGUAGES
Bachelor of Statistics and Data Science Ukrainian — C2
Faculty of Mechanics and Mathematics English — B2
Lviv National University (2021–2025)
Data Analyst
Remore [
SUMMARY
Data Analyst with 2+ years of experience in processing large datasets, building complex
analytical models, and optimizing business processes. Expert in Excel (advanced formulas,
pivot tables, data modeling) and Python-based data analysis. Strong background in
mathematics and optimization enables effective forecasting of inventory levels, analyzing
"out-of-stock" (deficiency) vs "overstock" situations, and automating supply chain
reporting. I am looking for a role as an analyst-purchaser who will apply strategic thinking
and data-driven insights to improve procurement efficiency.
Seeking an Analyst-Purchaser position with an expected salary of 1 050 USD.
SKILLS
Advanced Excel & BI: Complex Formulas (VLOOKUP, INDEX/MATCH, SUMIFS, Pivot Tables),
Data Modeling, Dashboards, VBA for automation.
Data Analysis & Python: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, Statistics &
Hypothesis testing.
Supply Chain Analytics: Inventory optimization, demand forecasting, procurement analysis,
logistics data processing.
SQL & Databases: PostgreSQL, MySQL, Query optimization, Data extraction for reports.
Data Pipelines: ETL processes, workflow automation, data cleaning and validation.
Mathematics: Statistics, Probability Theory, Optimization Methods (key for stock
management), Linear Algebra.
Tools & DevOps: Docker, Git, Linux, AI Tools (ChatGPT/Prompt Engineering for process
speed-up).
Soft Skills: Strategic thinking, proactive problem solving, cross-departmental
communication (sales/logistics), negotiation-ready.
EXPERIENCE
Research Assistant in Data Analytics (September 2023 – March 2025). Developed
analytical algorithms for processing large datasets and inventory optimization. Used
statistical methods to forecast demand and identify stock deficiencies. Automated
reporting systems using Excel and Python to improve procurement accuracy.
Analytical project on commercial data (January 2025 – June 2025). Created ETL processes
and analytical models for supply chain management. Performed deep analysis of "out-of-
stock" and "overstock" trends, optimized stock levels, and built complex Excel-based
dashboards for procurement monitoring.
EDUCATION LANGUAGES
Bachelor of Statistics and Data Science Ukrainian — C2
Faculty of Mechanics and Mathematics English — B2
Lviv National University (2021–2025)
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Резюме кандидата розміщено за адресою: https://www.work.ua/resumes/17468910/