Андрій
Data analyst
- Рассматривает должности:
- Data analyst, Аналітик продаж, Web-аналітик
- Город проживания:
- Ужгород
- Готов работать:
- Удаленно
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DATA ANALYST
SUMMARY
CONTACT Analyst with 5+ years of experience in economic research, reporting,
monitoring and evaluation, now transitioning into Data Analytics. Holds a
[
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management. Skilled in SQL, Python, spreadsheets, Tableau, statistics, and
➤ Telegram A/B testing, with Upper-Intermediate English and beginner-level Spanish and
in LinkedIn French.
Uzhhorod, Ukraine, remote
EXPERIENCE IN ANALYTICS
SKILLS Nonprofit Organization “3.5 Percent”
• Spreadsheets: Pivot Tables, Data HEAD OF THE ANALYTICAL DEPARTMENT AND MEAL UNIT
Cleaning, Visualization 06.2025 – present
• SQL: Advanced Queries, Window
• Built monitoring & evaluation systems to track project indicators against the logical
Functions, Query Optimization, Common
framework, defining data collection tools, methods, and schedules.
Table Expressions (CTE)
• Prepared periodic monitoring reports with statistical and analytical findings on
• Python: Pandas, NumPy, Matplotlib,
indicator achievement, plus recommendations for improvement.
Seaborn, Exploratory Data Analysis (EDA)
• Tableau: Interactive Dashboards, Data • Ran on-site monitoring visits across all project locations to validate data and assess
Storytelling, Publishing performance.
• Statistics: Sampling, Hypothesis Testing, • Coordinated MEAL matters with internal units and donors.
Correlation, Statistical Significance • Used tools: Excel, Word, Google Sheets, Google documents, PowerPoint,
• A/B Testing: Planning, Analysis, Reporting Mentimeter
• Other Tools: Jupyter Notebooks, Google
Ukrainian Institute for the Future
Analytics, Excel, Word, Git, PhotoShop,
ANALYST AT ECONOMIC DEPARTMENT
Canva, Notion
Mar 2021 – Jun 2024
• Knowledge of Software Development
Life Cycle: Waterfall, Agile concepts (Scrum, • Developed economic models and data-driven growth strategies for companies.
Kanban) • Collected and analyzed data; produced analytical reports and expert assessments
of economic events.
LANGUAGES • Authored research and analytical notes [Link]
• English (Upper-Intermediate) • Used tools: Excel, Word, Google Sheets, Google Documents, PowerPoint
• Spanish (Beginner)
• French (Beginner)
EDUCATION
ACHIEVEMENTS Mukachevo State University
• Co-author of the book
PhD 2023 – current
Program: Entrepreneurship and trade
“The End of the Age of Consumerism”
• Author of academic articles in the field Uzhhorod National University
of business process management: MASTER’S DEGREE 2020 – 2021
Link to article 1 Program: International Business
Link to article 2
Uzhhorod National University
Link to article 3
BACHELOR’S DEGREE 2016 – 2020
Link to article 4 Program: Computer Science
OTHER EXPERIENCE
ADDITIONAL
EDUCATION NEEKA foundation
LIVELIHOOD CONSULTANT | MEAL EXPERT
Dec 2022 – Apr 2026
• Data Analyst course at Mate academy • Assessed program effectiveness and reported on grants awarded, targeted use of
Link for certificates funds, and results achieved.
• Selected and interviewed beneficiaries; advised on applications, plans, and
• Learning How to Learn: Powerful mental budgets.
tools to help you master tough subjects
• Designed and evaluated microgrant programs; monitored fund use through audits
and data analysis.
• Modern project management — the art of
breaking the rules • Ensured data quality and consistency with donor reporting standards.
• Fundamentals of Project Management:
Project Execution and Monitoring CF “Civitas Ukraine”; CF “Dream. Live. Love”
MEAL EXPERT
• Data Analysis and Statistical Inference in R
May 2021 - Aug 2022
• MEAL Essentials Certificate • Built project monitoring plans and data-flow mechanisms (collection, storage,
analysis, interpretation, stakeholder feedback).
• King’s College – London, UK. English Course
for Juniors (Jul 2017 – Aug 2017) • Tracked indicator achievement and prepared project implementation reports.
• School of Music – Irshava, Ukraine. Class: • Ensured compliance with donor guidelines and child-protection standards.
Clarinet (2006 – 2013)
PORTFOLIO
Sales Analysis (SQL, Tableau, Python) – Link to review
• Cleaned and analyzed online shop session and sales data
• Calculated sales, orders, sessions, AOV, email verification rate, and unsubscribe rate
• Identified top countries, continents, product categories, traffic channels, and device
types
• Analyzed sales trends, seasonality, user behavior, and registered vs unregistered
users
• Applied correlation analysis, ANOVA, Mann-Whitney U test, and other statistical
methods
• Created Tableau dashboards for business insights and performance monitoring
A/B Test Tools – Link to review
• A/B test analysis of e-commerce funnel metrics using Python
• Two-proportion z-test for statistical significance
• Automated calculation of conversion rates, metric changes, p-values, and
significance flags
• Results prepared for Tableau Public visualization
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