Олександр

JUNIOR DATA ANALYST
OLEKSANDR TYMOSHENKO
CONTACTS
Phone: [open contact info](look above in the "contact info" section)
Email: [open contact info](look above in the "contact info" section)
Linkedin: [open contact info](look above in the "contact info" section)
tymoshenko-da/
Telegram: oleksandr_tymoshenko_DA
Address: Ukraine, Zaporizhzhia
PROFESSIONAL SUMMARY
Junior Data Analyst with practical experience in data analysis and product analytics. I work with SQL, Python (Pandas,
NumPy), Google Sheets, and Tableau. I have analyzed advertising campaigns, product metrics, and user behavior using
cohort analysis and EDA. I am seeking a Junior Data Analyst role where I can apply my analytical skills to support data-
driven decisions.
SKILLS
Data Analysis & Analytics - KPI tracking, metric definition and monitoring; cohort analysis, retention analysis, churn
analysis; LTV, ARPU, conversion rate analysis. SQL Analytics - Query logic and optimization; aggregations, joins,
subqueries; common Table Expressions (CTEs); window functions.Statistics & Experimentation - descriptive
statistics; trend analysis and metric comparison; A/B testing: experiment analysis, hypothesis testing. Data Cleaning &
Data Quality - data cleaning and preprocessing; data validation and consistency checks; error detection and anomaly
identification.Data Visualization & Storytelling - data visualization for business insights; translating analytical results
into clear, actionable conclusions.Python for Data Analysis - data analysis and exploratory data analysis (EDA) using
Python.
TOOLS & TECHNOLOGIES
Databases & SQL Engines - PostgreSQL, BigQuery, SQLite. Programming - Python (basic): Pandas, NumPy.
Spreadsheets - Google Sheets, Microsoft Excel (formulas, pivot tables, data validation). BI & Visualization - Tableau,
Power BI. Other - Jupyter Notebook.
PROJECT EXPERIENCE
Customer cohort analysis
Tools: SQL, Tableau, Google Sheets; Description: Performed customer cohort analysis to evaluate retention, ARPU,
and LTV, and to analyze user behavior over time; Result: Identified retention patterns across customer cohorts,
provided insights into long-term customer value.
E-commerce KPI Dashboard
Tools: SQL, Tableau; Description: Built an interactive KPI dashboard to analyze e-commerce business performance,
focusing on key metrics such as revenue, orders, profit, margin, and AOV; Result: enabled clear monitoring of core
business metrics, simplified performance analysis by category and region.
WORK EXPERIENCE
NATIONAL POLICE OF UKRAINE | POLICE OFFICER | May 2021 – September 2025
Performed official duties within units of the National Police of Ukraine with a strong focus on analyzing events, situations,
and individual behavior. Made daily operational decisions based on factual information, risk assessment, and logical
analysis of circumstances.
Key Responsibilities:
Analyzed incidents and events directly at the scene, collected and verified information from multiple sources, assessed
situations, identifying key factors and potential outcomes, prioritized actions based on risk level and available data.
Key Skills Developed:
Analytical and critical thinking, working with unstructured information, fact-based decision-making.

EDUCATION
IT SCHOOL “GOIT”|2025
Data Analysis
ZAPORIZHZHIA NATIONAL UNIVERSITY | 2021 - 2024
Finance, Banking, and Insurance | Bachelor’s degree
Languages:
English - Elementary
Ukrainian - Native