Аліна

ALINA CHOBITKO
Data Analyst

[open contact info](look above in the "contact info" section)
Portfolio
[open contact info](look above in the "contact info" section)
Tableau
Telegram
GitHub
LinkedIn

Ivano-Frankivsk, Ukraine

Can work during blackouts thanks to backup power and optic internet

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
Head of Marketing Architected an automated data pipeline integrating APIs from Google
Analytics, Meta, and social media platforms. Consolidated cross-channel
traffic and core metrics (ROMI, ROAS, CAC, LTV) into a single centralized
Veloplaneta
reporting system, using AI to accelerate script development.
Mar 2025 – Aug 2026 Optimized User Acquisition costs by generating and testing marketing
hypotheses. Reduced external contractor expenses by 20-50% via
performance analysis.
Standardized data collection from Category Managers. This ensured data
consistency and helped set up a predictable content plan.
Automated data extraction from the internal database. I also wrote
detailed guidelines for handling routine tasks using AI bots.
Implemented clear, data-driven KPI tracking across departments.

Category Manager Managed the assortment and commercial strategy for over 5,000 SKUs
across 50 brands and 20 categories.
Shifted the strategy for the cycling apparel category from volume to
Veloplaneta profitability. Eliminated low-margin segments, resulting in a 64% Gross
Margin growth and increasing Profit per Unit from $64 to $232.
Jan 2020 – Mar 2025
Built automated Excel dashboards linked to raw 1C data. This system tracked
gross profit and margins. It also identified overstock and stockout risks.
Built an automated cross-functional analytics spreadsheet for purchasing
and pricing strategies. This tool served as a single data source to synchronize
operations and align commercial goals across the assortment, retail, and
marketing teams.

Deputy Category Manager/ Built data-driven planograms for over 15,000 SKUs using internal
Merchandise Analyst databases and Excel.
Analyzed and forecasted sales for 7,000 perishable goods. Co-managed a
Supermarket Chain category team of 15 people.
Automated manual ordering and expiration date tracking. This reduced
Nov 2014 – Jul 2018
inventory waste by 4 times.
Restructured the confectionery category and increased its profitability

EDUCATION

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

ADDITIONAL EDUCATION

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

PROJECTS & INTERESTS

Active cyclist. Completed an 800 km journey from Kharkiv to Odesa in a single trip. 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.
Supports Payka Jewelry with business metrics. Built a custom financial model to automate margin
tracking and optimize sales performance.