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Olena

Data analyst

Розглядає посади: Data analyst, Database analyst, Data engineer, Analyst, Business analyst, Аналітик, Аналітик баз даних
Вік: 43 роки
Місто проживання: Київ
Готовий працювати: Дистанційно, Київ
Розглядає посади:
Data analyst, Database analyst, Data engineer, Analyst, Business analyst, Аналітик, Аналітик баз даних
Вік:
43 роки
Місто проживання:
Київ
Готовий працювати:
Дистанційно, Київ

Контактна інформація

Шукач вказав телефон , ел. пошту та LinkedIn.

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

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OLENA SAPOHOVA
DATA ANALYST
[відкрити контакти](див. вище в блоці «контактна інформація») GitHub
[відкрити контакти](див. вище в блоці «контактна інформація») LinkedIn

Telegram Tableau

Kyiv, Ukraine / remote

Summary
Data Analyst with strong skills in SQL, Python, and data visualization, experienced in
exploratory data analysis, statistical evaluation, and A/B testing. An adept at
transforming raw data into actionable insights that drive informed decision-making. My
background in engineering and manufacturing provides a solid foundation in analytical
thinking, process optimization, and structured problem-solving.

Skills
SQL: Python:
Advanced Queries, Window Functions, Query Pandas, NumPy, Matplotlib, Seaborn, Exploratory
Optimization, Common Table Expressions (CTE) Data Analysis (EDA)

Tableau: Statistics:
Interactive Dashboards, Data Storytelling, Sampling, Hypothesis Testing, Correlation,
Publishing Statistical Significance

Spreadsheets: A/B Testing:
Pivot Tables, Data Cleaning, Visualization Planning, Analysis, Reporting

Other Tools: Languages:
Jupyter Notebooks, Looker Studio, Excel, Git, Trello, English (Intermediate)
PyCharm

Experience
Data Analyst From Jan 2025

Developing and optimizing SQL queries for data extraction and analysis.


Performing data exploration, cleaning, transformation, and calculations using NumPy and Pandas.


Creating data visualizations using Matplotlib and Seaborn.


Building dashboards and analytical reports in Tableau, Google Sheets, and Looker Studio.


A/B testing using statistical methods in Python and calculating key conversion metrics.


Identifying insights from data and providing recommendations.


PORTFOLIO:

Project 1 (SQL, Python, Tableau) – [Sales analysis for an online store: calculation and analysis of key
sales metrics, dynamic analysis, statistical analysis of relationships, calculation of correlation coefficients,
and statistical tests to compare differences between groups]
Sales analysis


Dashboard

Project 2 (SQL, Python, Tableau) – [Analysis of A/B test results: calculation of conversion metrics that
represent different stages of the user journey on the website for four separate tests, both at the total level
and across the dimensions]
A/B testing


Dashboard


Project 3 (SQL Project) – [SQL query for analyzing the dynamics of account creation, user activity based
on email metrics(sends, opens, clicks), and assessing behavior across categories such as sending interval,
account verification, and subscription status]
Data analysis with SQL


Project 4 (Google Sheets Project) – [Dashboard for company sales analysis: sales (revenue, profit, number
of orders, units sold), order processing time, sales dynamics with the ability to analyze by country and
category]
Dashboard


Project 5 (Python Project) – [Exploratory Data Analysis of company operations with Python: data
overview, data cleaning, sales analysis, process analysis, sales dynamics, visualizations, conclusions &
recommendations]
EDA of Company Operations


Process engineer, Top Quality Project LLC 2021 – 2024
Conducted analysis and calculations of equipment utilization and labor resources, and implemented


changes that led to increased production volumes.
Optimized information workflow between the Sales and Production departments and set up automated


data-analysis reports, which reduced data-processing time and accelerated managerial decision-making.
Reduced production costs and improved product quality through the implementation of new materials


and onboarding of new suppliers.
Increased manufacturing productivity by introducing efficient technologies and Lean Manufacturing


principles.
Developed and implemented new products using advanced technologies.


Enhanced database normalization to optimize accounting processes and change management in the IT


Enterprise software system.

Process engineer, Merx Interio LLC 2016 – 2021
Continuous involvement in the development and implementation of new kitchen furniture models and


prototypes.
Developed and implemented templates for fast calculation of material consumption and creation of


product specifications, which significantly accelerated the preparation of documentation for similar
products across different sizes and colors.
Reviewed and adapted specifications for more than 900 products in various size and color variations for


integration into the updated database into the SAP system.

Education
National Technical University of Ukraine "Kyiv 1999 – 2005
Polytechnic Institute",
Specialist in Physical and Biomedical Electronics

Additional Education
Data Analyst, Mate academy

Accountant, School of market economy

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