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Остап

Дата-аналітик

Рассматривает должности: Дата-аналітик, Аналітик, Аналітик продажів, Бізнес-аналітик
Возраст: 24 года
Город проживания: Львов
Готов работать: Львов, Удаленно
Рассматривает должности:
Дата-аналітик, Аналітик, Аналітик продажів, Бізнес-аналітик
Возраст:
24 года
Город проживания:
Львов
Готов работать:
Львов, Удаленно

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OSTAP KOSYK
DATA ANALYST
[открыть контакты](см. выше в блоке «контактная информация») [открыть контакты](см. выше в блоке «контактная информация») Telegram Linkedin Lviv, Ukraine, remote, relocate

SUMMARY EXPERIENCE
Data Analyst with a background in CRM/ERP Data Analyst
systems and operational business data. 2025 - 2026
Experienced in working with structured data, Project 1 (E-commerce Sales Analysis Project)
Sales & Customer Behavior Insights
analyzing business processes, and translating
Tools: Python, BigQuery, SQL, Tableau, Google Colab
real business needs into measurable metrics
Conducted a comprehensive e-commerce sales analysis by
and insights. Currently applying
integrating transaction, session, user, and product data from
SQL/Spreadsheets-based analysis, exploratory BigQuery into a unified dataset.
data analysis, and data visualization to support Explored key performance metrics (sessions, revenue, conversion,
product and business decisions, with a focus average check) across regions, marketing channels, and user
on clear, structured analysis and actionable types.
outcomes rather than pure reporting. Applied statistical testing (Shapiro-Wilk, Levene’s test, Mann–
Whitney U, Kruskal–Wallis) to evaluate differences in user behavior
and session patterns.
SKILLS Built interactive Tableau dashboards featuring KPIs, time trends,
and drilldowns by country, category, and channel to support
business decision-making.
Spreadsheets: Pivot Tables, Data Cleaning, Identified high-performing regions and user groups, optimized
Visualization marketing insights, and visualized revenue-session correlation.
SQL: Advanced Queries, Window Published project and dashboard with well-documented code and
Functions, Query Optimization, Common findings on GitHub.
Table Expressions (CTE)
Python: Pandas, NumPy, Matplotlib, Project 2 (Spreadsheets)
Seaborn, Exploratory Data Analysis (EDA)
Business Insights Dashboard in Google Sheets
Tableau: Interactive Dashboards, Data
Tools: Google Sheets, Excel, Pivot Tables, Advanced Formulas
Storytelling, Publishing
Performed end-to-end sales and profitability analysis using
Statistics: Sampling, Hypothesis Testing,
dynamic spreadsheets and interactive dashboards.
Correlation, Statistical Significance
Applied advanced spreadsheet functions (e.g., QUERY,
A/B Testing: Planning, Analysis, Reporting
ARRAYFORMULA, SUMIFS) to clean, transform, and aggregate
Other Tools: Jupyter Notebooks, Google
transactional data.
Analytics, Excel, Git
Built automated KPIs, category-level profitability breakdowns, and
Languages: English (Intermediate)
time-based performance insights.

Creatio Analyst
EDUCATION 2024 - 2025 | QubeSoft
Configured and maintained CRM systems (Creatio) based on real
Lviv College of Construction, Architecture business requirements, working with structured operational data
and Design (leads, deals, orders, users, etc.).
Associate Degree in Architecture and Urban
Translated business needs into system logic, fields, statuses, and
Planning | 2017 – 2021
process rules, ensuring data correctness and usability for reporting.
Worked with CRM data to identify process gaps and improve
Lviv Polytechnic National University
visibility for sales and operations teams.
Architecture and Reconstruction (incomplete
Conducted user consultations and training, explaining system logic
higher education) | 2021 – 2023
and data usage in a clear and structured way.

CRM Specialist
ADDITIONAL EDUCATION 2022 - 2024 | Develin Core
Participated in selection and implementation of CRM/ERP systems
Data Analyst course at Mate academy based on business needs and data structure requirements.
Creatio Analyst Certificate Configured and customized CRM systems (OneBox, KeyCRM,
NetHunt, PlanFix), working with structured business and
operational data.
Designed data structures (entities, fields, relationships) to support
sales funnels, customer management, and reporting.
Implemented no-code integrations and automations to reduce
manual operations and improve data flow between systems.
Supported clients with data-related questions, system logic
explanation, and practical usage of CRM data.

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