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Богдан

Data analyst

Considering positions: Data analyst, Фінансовий аналітик, Акаунт-менеджер, Економіст, Аналітик продаж, Data engineer, Бізнес-аналітик, Аналітик консолідованої інформації, Менеджер проєктів, Маркетинг-аналітик
Age: 20 years
City of residence: Ivano-Frankivsk
Ready to work: Ivano-Frankivsk, Remote
Considering positions:
Data analyst, Фінансовий аналітик, Акаунт-менеджер, Економіст, Аналітик продаж, Data engineer, Бізнес-аналітик, Аналітик консолідованої інформації, Менеджер проєктів, Маркетинг-аналітик
Age:
20 years
City of residence:
Ivano-Frankivsk
Ready to work:
Ivano-Frankivsk, Remote

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Levytskyi
Bohdan Junior Data Analyst

CONTACT PROFILE
[open contact info](look above in the "contact info" section) Junior Data Analyst focused on understanding business problems
Ukraine, Ivano-Frankivsk through data.
[open contact info](look above in the "contact info" section) Worked with real datasets to analyze user behavior, funnels,
telegram: @xhrvud retention, and experiment results. Able to structure ambiguous tasks,
github.com/xhrvud identify key metrics, and translate analysis into clear, actionable
[open contact info](look above in the "contact info" section) insights. Interested in product and business analytics and continuous
bohdan
professional growth.
EDUCATION EXPERIENCE
Junior Bachelor’s Junior Data Analyst (Project-Based Experience)
Degree in Computer Worked on multiple data analytics projects using real datasets.
Science Performed exploratory data analysis, calculated key metrics, and
Ivano-Frankivsk analyzed user behavior and business performance.
Professional College
Handled projects end-to-end, from problem formulation to insights
Lviv National University of
and conclusions.
Environmental
Focused on analytical thinking, data accuracy, and clear presentation
Management
of results.
TOOLS
PROJECTS
SQL (JOINs, subqueries,
aggregations, window Product & Business Analytics — Users & Revenue
functions) Analyzed user activity and revenue data to understand product
Power BI / Tableau (DAX, performance. Built key product metrics (DAU, conversion funnel) and
dashboards, data identified user behavior patterns using SQL.
modeling)
MS Excel / Google Sheets Retention & Cohort Analysis
(formulas, pivot tables,
Performed cohort retention analysis (D0–D7) based on first purchase
data cleaning)
date. Built retention metrics and visualizations to evaluate user
A/B Testing (conversion
engagement over time.
analysis, hypothesis
testing)
Product Analytics
A/B Test — Marketing Conversion
(funnels, retention, cohort Analyzed A/B test results to compare conversion rates between
analysis) control and test groups. Evaluated experiment outcomes and
LANGUAGES determined statistical significance of results.
Ukrainian - Native
English - B1

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