Сервіс пошуку роботи №1 в Україні
Нікіта
Аналітик баз даних
- Вік:
- 24 роки
- Місто проживання:
- Миколаїв
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: Телефон
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/19004967/
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Nikita Zakrevskyi
Salo, Finland | [відкрити контакти ](див. вище в блоці «контактна інформація») | [відкрити контакти ](див. вище в блоці «контактна інформація») | LinkedIn | Portfolio
Summary
Data Analyst with hands-on experience in SQL, Python, Excel and BI tools. Take a process-first
approach: prioritize understanding the underlying business mechanics before building any
analysis. Proactive communicator who clarifies requirements early to deliver precise, high-impact
results.
Skills
• Data Analysis: SQL (MSSQL), Excel (Power Query, Power Pivot), Tableau, Power BI
• Programming: Python (pandas, matplotlib, numpy)
• Financial Analysis: Financial statements, key metrics (profitability, margins, cash flow,
ROE)
Work Experience
TrackEnsure, USA/Canada Jul 2022 – Jan 2024
Data Monitoring Specialist
- Analyzed large datasets to identify anomalies and inconsistencies.
- Collaborated with operational teams to ensure data accuracy and timeliness
- Explained technical root causes of data issues to non-technical stakeholders across
departments, ensuring clear understanding and faster resolution
Projects
A/B testing new in-game monetization feature to a subset of users with Python
Analyzed A/B test results for a new in-game monetization feature using Python (pandas, scipy)
and Tableau; evaluated ARPU, conversion rate, and ARPPU, conducted z-test for statistical
significance.
Project link: A/B test of Gaming Dataset with Python and Tableau
Customer Segmentation Using RFM Analysis (SQL + PowerBI)
This project analyzes customer purchasing behavior using RFM (Recency, Frequency, Monetary)
analysis to identify high-value and at-risk customer segments.
Project link: Customer Segmentation Using RFM Analysis
Semiconductor Companies Financial Analysis: NVIDIA, AMD, Intel (Python, API)
The analysis follows a classical financial framework, including revenue and growth analysis,
segment analysis, profitability, and cash flow evaluation.
Project link: Semiconductor Companies Financial Analysis: NVIDIA, AMD, Intel
Education
Petro Mohyla Black Sea National University Sep 2021 – Jul 2024
Ukraine, Mykolaiv
Bachelor’s Degree in Entrepreneurship, Trade and Stock Exchange Activities
Corporate Finance Institute (CFI) Dec 2024 – Apr 2025
USA
Business Intelligence & Data Analyst
Languages
Ukrainian — Native Russian — Native English — Intermediate
Salo, Finland | [
Summary
Data Analyst with hands-on experience in SQL, Python, Excel and BI tools. Take a process-first
approach: prioritize understanding the underlying business mechanics before building any
analysis. Proactive communicator who clarifies requirements early to deliver precise, high-impact
results.
Skills
• Data Analysis: SQL (MSSQL), Excel (Power Query, Power Pivot), Tableau, Power BI
• Programming: Python (pandas, matplotlib, numpy)
• Financial Analysis: Financial statements, key metrics (profitability, margins, cash flow,
ROE)
Work Experience
TrackEnsure, USA/Canada Jul 2022 – Jan 2024
Data Monitoring Specialist
- Analyzed large datasets to identify anomalies and inconsistencies.
- Collaborated with operational teams to ensure data accuracy and timeliness
- Explained technical root causes of data issues to non-technical stakeholders across
departments, ensuring clear understanding and faster resolution
Projects
A/B testing new in-game monetization feature to a subset of users with Python
Analyzed A/B test results for a new in-game monetization feature using Python (pandas, scipy)
and Tableau; evaluated ARPU, conversion rate, and ARPPU, conducted z-test for statistical
significance.
Project link: A/B test of Gaming Dataset with Python and Tableau
Customer Segmentation Using RFM Analysis (SQL + PowerBI)
This project analyzes customer purchasing behavior using RFM (Recency, Frequency, Monetary)
analysis to identify high-value and at-risk customer segments.
Project link: Customer Segmentation Using RFM Analysis
Semiconductor Companies Financial Analysis: NVIDIA, AMD, Intel (Python, API)
The analysis follows a classical financial framework, including revenue and growth analysis,
segment analysis, profitability, and cash flow evaluation.
Project link: Semiconductor Companies Financial Analysis: NVIDIA, AMD, Intel
Education
Petro Mohyla Black Sea National University Sep 2021 – Jul 2024
Ukraine, Mykolaiv
Bachelor’s Degree in Entrepreneurship, Trade and Stock Exchange Activities
Corporate Finance Institute (CFI) Dec 2024 – Apr 2025
USA
Business Intelligence & Data Analyst
Languages
Ukrainian — Native Russian — Native English — Intermediate
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