Олена

Olena Pokoievych
Data analyst
ABOUT ME
Data Analyst with a finance and accounting background, combining strong
analytical thinking with practical skills in SQL, Python, and Tableau. Experienced
in data cleaning, statistical analysis, and dashboard development, with an
understanding of business processes gained through prior work in financial
reporting. English (Intermediate+) — actively practiced through speaking clubs.

CONTACT EXPERIENCE
[open contact info](look above in the "contact info" section) DATA ANALYST 2026
Telegram: olena_pokoievych Independent Project
[open contact info](look above in the "contact info" section) 1. A/B Test Analysis: Conversion Metrics & Statistical Significance (SQL,
LinkedIn: Olena Pokoievych Python, Tableau)

GitHub Statistical evaluation of A/B test results—conversion rates, significance
testing (proportions z-test), segmented by country, device, continent, and
Vinnitsya, Ukraine (remote)
channel. Includes a Tableau dashboard.
SKILLS 2. E-Commerce Performance & Statistical Analysis (SQL, Python, Tableau)
SQL: JOINs, GROUP BY, subqueries, CTEs, Analysis of 350K+ sessions: revenue/conversion breakdowns, time-series
window functions, etc. (BigQuery) trends, and statistical testing (correlation, Mann-Whitney U,
Python: Pandas, NumPy, Matplotlib, Friedman/Wilcoxon). Includes 2 Tableau dashboards.
Seaborn, data manipulation, cleaning, and 3. Retail Sales Analysis: Global Orders 2010–2017 (Python, Pandas,
visualization Matplotlib/Seaborn)
Tableau: dashboards, calculated fields, Multi-country retail sales EDA: category and regional profitability, channel
filters, and analytical reporting comparison, delivery times, and seasonal trends.
Google Sheets / Excel: pivot tables,
formulas, data cleaning, and reporting
Statistics & Probability: probability theory, PREVIOUS EXPERIENCE
distributions, hypothesis testing, p-value,
ACCOUNTANT 2018 - 06/2026
confidence intervals, A/B testing
English language school “Flash”
Accounting & Finance: knowledge of Prepared and analyzed weekly and monthly financial reports, forecasting
accounting and management accounting revenue and profit based on client data
principles Streamlined the data verification process using Google Sheets functions,
Language: English (Intermediate+) significantly reducing manual checking time

EDUCATION Verified data accuracy across internal records and counterparties, resolving
2026 discrepancies in financial and payroll data
Data analysis course, Mate Academy
2012 - 2018 BANK CASHIER 2016 - 2018
Institution: Vinnytsia Trade and Economic PrivatBank

Institute of Kyiv National University of Trade Executed and verified daily banking transactions, including currency

and Economics exchange operations and payments

Degree: Master of Finance, Banking, and Conducted daily reconciliations, identifying and resolving discrepancies in

Insurance cash and bank operations