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Data analyst
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JUNIOR DATA ANALYST
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SUMMARY
Junior Data Analyst with strong analytical thinking and a solid foundation in data analytics.
Skilled in SQL, Excel, and Python for data cleaning, analysis, and basic process automation.
Experienced in working with datasets, identifying patterns, and creating clear reports and
dashboards using Tableau and Looker Studio in marketing and statistics. Seeking a company in
the IT field where I can apply my knowledge to real-world data, contribute to business process
improvement, support team results, and grow as a professional data analyst.
TECHNICAL SKILLS:
SQL (PostgreSQL, BigQuery), Python (NumPy, Pandas, Mathplotlib), Excel, Google Sheets,
Tableau, Looker Studio, Anaconda.
PROJECT MANAGEMENT & COLLABORATION:
Agile, Scrum, Amplitude, Slack, Teams.
TOOLS:
Data Cleaning and Preprocessing, Data Visualization and Dashboard Development, Statistical
Analysis, SQL Querying and Optimization, A/B Testing and Experiment Analysis, KPI Tracking
and Performance Reporting, Data Storytelling and Insight Presentation.
EDUCATION
Data Analyst
IT School ‘GoIT’ Data Analysis 2025
PROJECT EXPERIENCE
E-commerce funnel
Tools: Google Looker Studio, BigQuery
Description: Built an interactive GA4 e-commerce funnel dashboard to analyze user behavior and conversion
by traffic source, country, and language with dynamic filters.
Result:
-Identified top traffic sources with up to 3.16% CR and key funnel drop-offs (-17%).
-Defined highest-converting markets (Germany, Western Europe, North America) to optimize ad spend.
-Showed user activity dynamics by language and country.
-Provided actionable insights to optimize marketing strategies and improve conversion.
Marketing Campaign Performance Dashboard
Tools: Google Looker Studio, SQL
Description: Interactive dashboard analyzing 2020-2025 marketing campaigns, showing ROMI, ad
spend, CPC, CTR, and CPM to track efficiency.
Result:
-Highlighted trends and performance patterns across campaigns.
-Provided insights through data visualization to support marketing decisions and reporting.
Delivery Time Analysis Dashboard
Tools: Excel, Tableau
Description: Built an interactive dashboard to analyze delivery times across the United States. The
dashboard visualizes average delivery days by state, shipping method, and customer segment.
Result:
-Highlighted delivery trends, showing faster and slower regions and shipping methods.
-Provided actionable insights through data visualization to support logistics decision-making.
WORK EXPERIENCE
Allfein Feinkost GmbH & Co. KG
March 2022-March 2025
Production Assistant
● Ensured product quality and process consistency in the packaging department while
consistently achieving 100-110% of daily production targets and exceeding them by 15–20%
during peak periods, maintaining stable line speed and output.
● Reduced defective products by approximately 20-25% through accurate quality control and
high attention to detail.
● Trained and onboarded 10-15 new employees and seasonal students every 3 months, helping
them adapt faster and reach productivity standards.
● Maintained continuous workflow by working without interruptions for up to 95% of the shift,
minimizing downtime and ensuring production plans were met.
OTHER EDUCATION
National University of Life and Environmental Sciences of Ukraine
Master’s degree in Food technology
2018-2023
PERSONAL QUALITIES
● Organized - during peak workloads, I took on additional tasks from colleagues, helping the
team achieve 100% of targets even with 4-7 team members absent.
● Responsible - always complete tasks assigned by supervisors to the highest standard.
● Detail-oriented - my attention to detail reduced returns due to defects by approximately 20%
● Fast learner - quickly adapt to new tasks, tools, technologies, and processes.
LANGUAGES
English Intermediate (B1) : comfortable communicating with colleagues and clients,
understanding technical documentation, writing emails, and participating in meetings.
Ukrainian Native
Russian Native
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