Сервіс пошуку роботи №1 в Україні
Дмитро
Дата-аналітик
- Розглядає посади:
- Дата-аналітик, Data engineer, Data scientist
- Вік:
- 24 роки
- Місто:
- 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/14567032/
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перегляду
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DMYTRO IVANIUK
Data Analyst
CONTACT PROFILE
[відкрити контакти ](див. вище в блоці «контактна інформація») Data Analyst in FMCG demand planning. Own 12-
month rolling SKU-level forecasting models for
[відкрити контакти ](див. вище в блоці «контактна інформація»)
domestic and export channels used by commercial
Rivne, Ukraine
teams for budgeting and planning; automate analytical
Telegram
workflows in Python and SQL. Mentor junior analysts in
LinkedIn
data analytics at Mate academy.
EDUCATION
WORK EXPERIENCE
National University of Water
and Environmental Engineering Nemiroff | Demand Planning Analyst
2020–2024 July 2025 - Present
B.A. in Information Systems and Own 12-month rolling, SKU-level demand forecasting
Technologies models for two channels: domestic and export, combining
multiple data sources and methods, with each modelling stage
Mate academy
validated by hypothesis testing
Mar - June 2025
Forecasts serve as the planning baseline for ~20 managers
Data Analyst course
across commercial and export teams, driving annual budgets
and mid-cycle demand reviews
SKILLS Developed a Python calculation for the export model that did
not exist in the company before, replacing slow manual
SQL: MS SQL, PostgreSQL, estimation with an automated, repeatable process
BigQuery Automated recalculation of the financial plan for both
Python: Pandas, NumPy, models on every demand plan change, removing manual
Matplotlib, Data Processing rework across linked models
Track forecast accuracy against actuals and analyse
Automation
systematic deviations to improve model performance
BI: Power BI (DAX, Power Query,
Support commercial, export and planning teams with ad-hoc
Data Modeling), Tableau
SQL and Python solutions for fast-turnaround business
Analytics: Forecasting, KPI
questions
Analysis, Cohort Analysis, A/B
Testing Mate academy | Data Analytics Mentor (part-time)
Statistics: Hypothesis Testing, December 2025 - Present
Confidence Intervals,
Mentor students in SQL, Python and statistics;
Descriptive Statistics
review technical assignments with feedback on
Spreadsheets: Excel, Google
business logic and code quality
Sheets, Pivot Tables, Advanced
Run Q&A and practical sessions on real analytical tasks
Formulas
and debugging approaches
Languages: English (B1),
Prepare junior analysts for technical interviews and test
Ukrainian (Native)
assignments
Data Analyst
CONTACT PROFILE
[
month rolling SKU-level forecasting models for
[
domestic and export channels used by commercial
Rivne, Ukraine
teams for budgeting and planning; automate analytical
Telegram
workflows in Python and SQL. Mentor junior analysts in
data analytics at Mate academy.
EDUCATION
WORK EXPERIENCE
National University of Water
and Environmental Engineering Nemiroff | Demand Planning Analyst
2020–2024 July 2025 - Present
B.A. in Information Systems and Own 12-month rolling, SKU-level demand forecasting
Technologies models for two channels: domestic and export, combining
multiple data sources and methods, with each modelling stage
Mate academy
validated by hypothesis testing
Mar - June 2025
Forecasts serve as the planning baseline for ~20 managers
Data Analyst course
across commercial and export teams, driving annual budgets
and mid-cycle demand reviews
SKILLS Developed a Python calculation for the export model that did
not exist in the company before, replacing slow manual
SQL: MS SQL, PostgreSQL, estimation with an automated, repeatable process
BigQuery Automated recalculation of the financial plan for both
Python: Pandas, NumPy, models on every demand plan change, removing manual
Matplotlib, Data Processing rework across linked models
Track forecast accuracy against actuals and analyse
Automation
systematic deviations to improve model performance
BI: Power BI (DAX, Power Query,
Support commercial, export and planning teams with ad-hoc
Data Modeling), Tableau
SQL and Python solutions for fast-turnaround business
Analytics: Forecasting, KPI
questions
Analysis, Cohort Analysis, A/B
Testing Mate academy | Data Analytics Mentor (part-time)
Statistics: Hypothesis Testing, December 2025 - Present
Confidence Intervals,
Mentor students in SQL, Python and statistics;
Descriptive Statistics
review technical assignments with feedback on
Spreadsheets: Excel, Google
business logic and code quality
Sheets, Pivot Tables, Advanced
Run Q&A and practical sessions on real analytical tasks
Formulas
and debugging approaches
Languages: English (B1),
Prepare junior analysts for technical interviews and test
Ukrainian (Native)
assignments
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Резюме кандидата розміщено за адресою: https://www.work.ua/resumes/14567032/