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Trainee/Junior data analyst

Considering positions: Trainee/Junior data analyst, Маркетинг-аналітик, Трейдер
Age: 33 years
City of residence: Trostianets (Vinnytsia Region)
Ready to work: Kyiv
Considering positions:
Trainee/Junior data analyst, Маркетинг-аналітик, Трейдер
Age:
33 years
City of residence:
Trostianets (Vinnytsia Region)
Ready to work:
Kyiv

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BOHDAN KRAVETS
DATA ANALYST

SUMMARY
Results-driven manager with experience in sales leadership, operations
management, and data-driven decision-making. Successfully led sales teams and
optimized business processes through BAS KUP, 1C, and Google Sheets, gaining
hands-on experience in data analysis, reporting, and performance tracking.
Currently expanding expertise in SQL, Python, and BI tools (Tableau, Power BI)
through a Data Analyst course at GoIT. Seeking to leverage analytical skills and
leadership experience to drive efficiency and business growth.

PROJECT EXPERIENCE
Data Analysis in Google Sheets (Google Sheets)
Goal: Analyze user behavior and visualize key activity metrics.
CONTACTS
Tools: Google Sheets (Pivot Tables, Charts, Conditional Formatting).
[open contact info](look above in the "contact info" section) Results: Improved data workflows, enhanced visualization, and provided
insights on user engagement.
[open contact info](look above in the "contact info" section)
SQL Queries & Data Visualization (BigQuery, Looker Studio)
Telegram Goal: Optimize SQL queries and create interactive dashboards.
LinkedIn Tools: SQL (BigQuery), Looker Studio.
Results: Analyzed business metrics, built efficient queries, and developed
Trostianets, Ukraine
real-time dashboards.
Sales & Revenue Dashboard (Tableau, SQL)
HARD SKILLS
Goal: Visualize revenue trends and user activity.
SQL Tools: Tableau, SQL.
Google BigQuery Results: Created dashboards for revenue tracking, cohort analysis, and
Tableau onboarding trends.
Power BI Python Data Analysis – Stack Overflow Survey (Python, Jupyter Notebook)
Python Goal: Explore developer survey data on salaries and skills.
A/B Testing Tools: Python (Pandas, NumPy, Matplotlib), Jupyter Notebook.
Results: Cleaned data, calculated key metrics, and analyzed salary
TOOLS distributions.
A/B Testing – Subscription Conversion (Python, Google Sheets)
Exel
Goal: Evaluate subscription design impact on conversions.
Google Analytics
Tools: Python (Pandas, SciPy, Matplotlib), Google Sheets.
PostgreSQL
Results: Formulated hypotheses, calculated sample size, and analyzed
Tableau
statistical significance.
Amplitude
GitHub
WORK EXPERIENCE
SOFT SKILLS Store Manager | МЕТР (Retail, B2C) | May 2021 – April 2025
Analytical thinking Managed sales and inventory, optimizing stock levels using Excel, 1C, and
Teamwork Google Sheets.
Developed pricing strategies and automated sales reporting in BAS KUP,
Adaptability
reducing manual reporting time by 30%.
Creativity
Led a team of 10+ employees, improving store operations and financial
Ability to learn performance.

LANGUAGES EDUCATION
English - Intermediate
IT School “Go IT” – Data Analyst 2024 - 2025
Ukrainian - Native
Russian - Advanced VINNYTSIA MYKHAILO KOTSIUBYNSKYI STATE PEDAGOGICAL
UNIVERSITY 2009 - 2014
Polish - Intermediate
Degree: Master’s in History

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