Natalia

Natalia Reutska
DATA ANALYST
A results-oriented data analyst with technical expertise in SQL (BigQuery), Python (Pandas,
NumPy), and Tableau visualization. Leveraging 10+ years of experience in financial data control and
KPI monitoring, I have a track record of managing data integrity, streamlining reporting standards,
and transforming complex datasets into actionable business insights. Skilled in predictive resource
Contact optimization and performance analysis. Dedicated to continuously advancing technical proficiency
and refining English to deliver high-quality insights in a fast-paced, data-driven environment.

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Experience
[open contact info](look above in the "contact info" section)

Telegram Feb 2026 – now
Self Employed
LinkedIn
Data Analyst
GitHub
SQL & BigQuery: Developed complex queries using JOINs, CTEs, and Window
Odesa, Ukraine / Remote / Relocate Functions to extract, filter, and transform large-scale datasets
Spreadsheet Analytics: Performed advanced data modeling in Google Sheets using
Works during blackouts: EcoFlow + pivot tables and complex formulas to provide rapid business insights
UPS + fiber optic Data Visualization: Built interactive dashboards in Tableau to track and analyze key
sales metrics and marketing performance
Python Automation: Applied Pandas and NumPy for automated data cleaning and

Skills processing, reducing manual workload and error rates in Google Colab
Statistical Analysis: Applied descriptive statistics, hypothesis testing, and correlation
analysis to interpret data distributions and validate business assumptions
Product A/B Testing: Planned and designed experiments, selected metrics, collected
Spreadsheets / Excel and analyzed data, applied advanced tools and approaches

Pivot Tables Data Cleaning Visualization
Portfolio
SQL SQL Project: User Engagement Funnel. Developed a comprehensive analytical model
to track email marketing performance. Utilized advanced SQL (CTEs, window
Window Functions CTEs functions) to rank global markets and optimize user retention strategies based on
behavioral data.
Query Optimization Views Python & Tableau Projects:
E-commerce Sales Analytics Exploratory and statistical analysis in Python:
Python sales geography, traffic channels, order dynamics, user behavior, and metric
correlations. Performed statistical group comparisons with significance testing
Pandas NumPy Matplotlib
and built pivot tables. The final interactive Tableau dashboard presents key
insights.
Seaborn EDA Jupyter
A/B Testing Analysis Automated statistical significance calculation for
conversion metrics in Python. Built an interactive Tableau dashboard clearly
Power BI / Tableau
highlighting statistically significant differences between test groups.
Interactive Dashboards Data Storytelling

May 2014 – Feb 2026
Statistics
Symbol, Odesa
Sampling Hypothesis Testing
Senior Cashier
Correlation Statistical Significance Data Integrity & Auditing: Conducted daily audits of cash operations and financial
reports in 1C, ensuring data accuracy and identifying accounting discrepancies
A/B Testing Financial Monitoring: Tracked and analyzed operational expenses and cash flows,
contributing to cost optimization through regular metric monitoring
Planning Analysis Reporting
Operational Efficiency: Streamlined reporting standards and trained staff, leading to a
measurable increase in team accuracy and a reduction in administrative errors
AI & Automatization Performance Analysis & Reporting: Monitored daily sales targets (KPIs) and provided
data-backed insights
Claude Code Skills n8n
Team Leadership: Supervised a team of 12 employees, improving workflows and
service quality through continuous performance monitoring

Language Education
Institution Odessa State Academy of Refrigeration 2004 - 2009
English Intermediate
Master's Degree in Alternative Energy Sources (with honors)