Загруженный файл CV

Education

• Shevchenko State University
  • Info-communication technologies and systems connected
  • 2016-2020

Skills

• Analytics & Reporting: Excel, Google Sheets, GA4, dashboards creation
• Advertising Platforms: Google Ads, Bing Ads
• Automation & Scripting: Python (Selenium, BeautifulSoup), Excel macros, automated report generation
• Database & Data Management: SQL (basic), web scraping, data parsing

Languages

• English: Intermediate
• Romanian: Basic
• Russian: Native

Summary

Over 3 years of experience as a Marketing Analyst in B2B e-commerce. Experienced in collecting, structuring, and analyzing data for over 1,000 brands and 2.5+ million SKUs, identifying trends, generating actionable insights, and supporting business growth. Skilled in KPI monitoring, campaign and product performance analysis, and collaborating with internal and external teams to improve decision-making and operational efficiency. Committed to a data-driven approach, ensuring insights are delivered accurately and timely to optimize strategies across the business.

Work Experience

• 2023 - Present: IT Dev Service
  • Marketing Analyst
    • Data Collection & Automation:
      • Collected and structured data from Google Ads, Bing Ads, GA4, and internal databases
      • Developed Python parsers (Selenium, BeautifulSoup) and automated Excel workflows to extract pricing and product data efficiently
    • Analysis & Reporting:
      • Monitored KPIs and performance across 1,000+ brands and 2.5+ million SKUs
      • Built dashboards and reports in Excel/Google Sheets, providing actionable insights for business decisions
    • Optimization & Insights:
      • Delivered recommendations to improve campaign performance, pricing, and inventory strategies
      • Collaborated with internal teams and external partners to implement changes and track results
    • Continuous Improvement:
      • Streamlined analytics processes, reducing manual work and improving reporting accuracy
      • Implemented automation and tools to ensure timely, reliable data for decision-making.