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DATA ANALYST

Chisinau, Republic of Moldova

HARD SKILLS

• SQL
• Excel and Data Manipulation
• Data Visualization Tools
• Data Visualization
• Statistics and Probability
• A/B Test
• Advertising Product Analysis
• Product Analysis
• Problem-Solving and Critical Thinking

TOOLS

• Excel
• Google Sheets
• PostgreSQL
• DBeaver
• BigQuery
• Looker Studio
• Tableau
• Google Analytics
• Canva
• Amplitude

SOFT SKILLS

• Time management
• Trustworthiness
• Task prioritising
• Reliability
• Critical thinking
• Logical thinking
• Teamwork
• Responsibility
• Desire to learn

LANGUAGES

• English - (Intermediate)
• Romanian - (Intermediate)
• Ukrainian - (Native)
• Russian - (Native)

SUMMARY

Novice Data Analyst with solid knowledge and practical experience in SQL, Python, Excel, Tableau, and Power BI. Skilled in data collection, cleaning, visualization, reporting, and forecasting.
Passionate about uncovering insights from data to support informed business decisions and improve processes.
Strong analytical thinking, attention to detail, and teamwork skills enable effective collaboration with colleagues and stakeholders.
Eager to apply skills to real-world challenges and contribute to company growth while advancing professionally in analytics

WORK EXPERIENCE

CERAGEM, Moldova
Director of Service & After-Sales Support
OCTOBER 2017 - PRESENT

• Migrated customer and service data from paper/spreadsheets to a CRM system (1C), improving data accuracy and reducing search time by 40%.
• Developed post-sales and post-warranty service standards, improving customer retention rate and increasing repeat purchase probability.
• Monitored and analyzed service requests data to identify bottlenecks, optimize workflows, and improve service response times.

CERAGEM, Moldova
Regional Representatives Manager
June 2014 - September 2017

• Designed and implemented structured daily, weekly, and monthly performance reports for 10+ regional representatives.
• Conducted data-driven analysis of sales reports, identifying patterns and preventing revenue losses.
• Improved communication efficiency by introducing standardized reporting formats and KPIs tracking

PROJECT EXPERIENCE

Analysis of Online eCommerce Campaigns
Tools: DBeaver, BigQuery, Google Analytics 4 (GA4).

Description: Conducted a comprehensive analysis of eCommerce platform online campaign data using BigQuery and GA4. Examined campaign performance details, prepared datasets for BI visualization, calculated key metrics (conversion rate, ROMI, bounce rate), and identified correlations between user behavior and sales.

My Tasks:

• Analyzed details of online campaigns
• Prepared datasets for BI reporting
• Calculated conversions by date and traffic channel
• Compared conversion rates across different landing pages
• Assessed correlation between user engagement and purchases

Result: Identified the most effective marketing channels and products, optimized landing page structure, and revealed drop-off points in the sales funnel, leading to improved conversion rates and overall campaign performance.

EDUCATION

IT School GoIT
Data Analysis | 2025

Kherson National Technical University
2005-2010 | Master's Degree in International Economic Relations Management

Language levels:
English (3/5)
Romanian (3/5)
Ukrainian (5/5)
Russian (5/5)