Сніжана

Snizhana Kaliuzhna
DATA ANALYST
SUMMARY

Data Analyst with hands-on experience in business and
operational analytics, working with SQL, Python, Tableau,
Power BI, and statistical analysis. Experienced in analyzing
business performance, KPIs, reporting, and identifying trends
and performance gaps to support data-driven decisions.
Combines analytical skills with a strong background in retail
CONTACT management and a practical understanding of business processes
and operational performance. English — Intermediate.
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LinkedIn EXPERIENCE
@sneeezhha
DATA ANALYST | PROJECT EXPERIENCE | SEP 2026 –
Kyiv, Ukraine | Remote
PPESENT
Define business and product metrics for a cross-functional e-
SKILLS commerce project based on client goals and expected user
SQL & BigQuery behavior.
CTEs, Window Functions, Joins, Develop an event-tracking plan for Product Click, Add to Cart,
Aggregations Wishlist, Search, Filters, and Checkout to enable future funnel
Data Visualization & BI analysis.
Power BI (DAX, Power Query, Data Build the analytical data structure and ERD for order, customer,
Modeling, Interactive Dashboards), product, cart, and behavioral analysis.
Tableau (Calculated Fields, Filters, Collaborate with frontend, backend, QA, and project
Parameters) management teams to translate business needs into analytics
Python requirements.
Pandas, NumPy, Matplotlib, Seaborn
Spreadsheets
Excel, Google Sheets, Pivot Tables,
Data Cleaning, Data Validation PORTFOLIO
Statistics SQL Data Analytics Project
Descriptive & Inferential Statistics, Analyzed e-commerce data using joins, CTEs, window functions,
Hypothesis Testing, Correlation, and aggregations to identify customer and product patterns.
Statistical Significance (Link to review)
Product & Business Analytics
KPI Analysis, A/B Testing, Funnel Tableau Data Visualization Projects
Analysis, RFM Analysis, Conversion & Built interactive dashboards for experiment results and customer
Retention Metrics analysis using calculated fields, filters, and parameters.
Tools (Link to review)
Google Colab, Jupyter Notebook, Git,
Jira, MySQL Workbench Python Data Analytics Project
LANGUAGE Performed EDA of online store sales using Pandas, including data
preparation, pattern analysis, and visualization.
English — Intermediate(B1) (Link to review)

Snizhana Kaliuzhna
DATA ANALYST

PREVIOUS EXPERIENCE
STORE MANAGER | INTIMISSIMI (CALZEDONIA GROUP) 2022 – PRESENT
PREVIOUSLY: SALES ASSISTANT → ADMINISTRATOR
Analyze operational and sales KPIs, including Revenue, Conversion Rate (CR),
Average Transaction Value (AVT), and Units per Transaction (UPT), to identify
performance gaps and support business decisions
Perform plan-vs-actual analysis, monitor budget execution, and identify trends
and deviations in store performance
Prepare regular performance reports using Excel and Google Sheets and
translate analytical findings into operational actions
Set targets and analyze team performance to identify improvement
opportunities and support business results

EDUCATION
STATE UNIVERSITY OF TRADE AND ECONOMICS | KYIV, UKRAINE
2021 – 2025

Bachelor's Degree in Management
Specialization: Human Resources Management

ADDITIONAL EDUCATION
Mate academy — Data Analytics Course | 2026 ( View certificate)
Learning Data Analytics: 1 Foundations — LinkedIn | 2026 (View certificate)
Google — Fundamentals of Digital Marketing |2022 (View certificate)

ACHIEVEMENTS

1st Place — All-Ukrainian Student Qualification Work Competition | 2025
Specialty: Management, specialization in Human Resources Management.
Participant — Student Scientific & Practical Conference “Priorities of Socio-
Economic Development of Society” | 2024.