Аліна

ALINA CHOBITKO
Data Analyst

[відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація») | Telegram | LinkedIn

Portfolio: Tableau | GitHub

Ivano-Frankivsk, Ukraine

ABOUT ME
Data Analyst with 12 years of commercial background in retail and e-commerce. I progressed from Database
Operator to Category Manager and Head of Marketing, managing data and assortments of over 15,000 SKUs. I know
how business works from the inside and deeply understand unit economics. My core skill is finding business bottlenecks
and optimizing processes using data. For example, my data-driven strategy eliminated low-margin segments, driving a
64% Gross Margin growth and increasing profit per unit from $64 to $232. To accelerate complex tasks, I leverage
AI tools (Claude, Gemini, ChatGPT) to write scripts, integrate APIs, and build automated data pipelines.

SKILLS
● SQL: Advanced Queries, Window Functions, Query Optimization, Common Table Expressions (CTE)
● Python: Pandas, NumPy, Matplotlib, Seaborn, Exploratory Data Analysis (EDA)
● Tableau: Interactive Dashboards, Data Storytelling, Publishing
● Statistics: Sampling, Hypothesis Testing, Correlation, Statistical Significance
● A/B Testing: Planning, Analysis, Reporting
● Spreadsheets: Pivot Tables, Data Cleaning, Visualization
● Other Tools: Jupyter Notebooks, Google Analytics
● Productivity & Documentation: Trello, ClickUp, Notion, Obsidian
● Languages: English - Intermediate

PORTFOLIO

SQL Project. User Engagement & Email Marketing | Link to review
● Responsibilities: Analyzed user registration growth and email campaign metrics (Open Rate, CTOR) to find
top-performing countries.
● Tech Stack: SQL (Google BigQuery, CTEs, Window Functions), Looker Studio.

Tableau Project. Apparel Category Turnaround & Margin Optimization | Link to review
● Responsibilities: Proved the financial impact of shifting focus to profitability. Built a dashboard with custom
margin segmentation to demonstrate a 64% Gross Margin growth and improved unit economics.
● Tech Stack: Tableau (Interactive Dashboards, Calculated Fields), Advanced Excel (Data Cleaning, Data
Modeling).

Python Project. E-Commerce Sales & Data Audit | Link to review
● Responsibilities: Conducted Exploratory Data Analysis (EDA) to evaluate website traffic and CRM efficiency.
Used statistical testing (t-test) to find data anomalies and prove that the dataset was synthetic.
● Tech Stack: Python (Pandas, Matplotlib, Seaborn, SciPy), Google BigQuery, Tableau.

EXPERIENCE

Data & Product Analyst (Self-employed) | Freelance | Jul 2026 – Present

● Designed custom financial models to track product profitability and sales performance.
● Built automated interactive dashboards in Tableau, integrating data to eliminate manual reporting.
● Conducted Exploratory Data Analysis (EDA) and A/B test evaluations using Python (Pandas, NumPy) to validate
business hypotheses.

Head of Marketing | Veloplaneta | Mar 2025 – Aug 2026

● Architected an automated data pipeline integrating APIs (Google Analytics, Meta) to track core metrics (ROMI,
ROAS, CAC, LTV) in a centralized system.
● Reduced external contractor expenses by 20-50% through data-driven performance analysis and User
Acquisition optimization.
● Automated data extraction from the internal database and implemented data-driven KPI tracking across
departments.
● Standardized cross-departmental data collection and integrated AI bots for routine task automation.

Category Manager / Commercial Operations Specialist | Veloplaneta | Jul 2018 – Mar 2025

● Managed the assortment and commercial strategy for over 5,000 SKUs across 50 brands.
● Shifted the cycling apparel strategy to profitability, driving a 64% Gross Margin growth and increasing Profit per
Unit from $64 to $232.
● Built automated Excel dashboards linked to 1C raw data to track gross profit, margins, and overstock risks.
● Developed a cross-functional analytics tool to synchronize purchasing, pricing, and retail operations.

Deputy Category Manager / Merchandise Analyst | Supermarket Chain | Nov 2014 – Jul 2018

● Analyzed sales and built data-driven planograms for over 15,000 SKUs using internal databases.
● Automated manual ordering for 7,000 perishable goods, directly reducing inventory waste by 4 times.
● Restructured the confectionery category based on sales data to increase profitability.

EDUCATION

Specialist Degree in Sociology
H.S. Skovoroda Kharkiv National Pedagogical University | Graduated in 2014
Focused on quantitative research methods, behavioral data analysis, and statistical processing.

ADDITIONAL EDUCATION

● Data Analyst Course | Mate Academy | 2026
● Marketing Director | Skvot | 2025
● Strategic Marketing | Laba | 2026
● Internet Marketing | Genius | 2024

INTERESTS
● Active cyclist. Rides complex gravel trails and maintains personal gear to a high technical standard.
● Reads foundational business literature. Uses strategic insights from "The Goal" by E. Goldratt and "How Brands
Grow" by B. Sharp to build analytical thinking.