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Data Analyst

Gender Masculin

address Chișinău

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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.

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