Natalia

Natalia Reutska
DATA ANALYST
A results-oriented data analyst with technical expertise in SQL (BigQuery/PostgreSQL), 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 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
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Feb 2026 – now
[открыть контакты](см. выше в блоке «контактная информация») Self Employed

Telegram Data Analyst
SQL & BigQuery: Developed complex queries using JOINs, CTEs, and Window
LinkedIn
Functions to extract, filter, and transform large-scale datasets
GitHub Spreadsheet Analytics: Performed advanced data modeling in Google Sheets using
pivot tables and complex formulas to provide rapid business insights
Odesa, Ukraine / Remote / Relocate
Data Visualization: Built interactive dashboards in Tableau to track and analyze key
Works during blackouts: EcoFlow + sales metrics and marketing performance
UPS + fiber optic Python Automation: Applied Pandas and NumPy for automated data cleaning and
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
Skills Product A/B Testing: Planned and designed experiments, selected metrics, collected
and analyzed data, applied advanced tools and approaches

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

Interactive Dashboards Data Storytelling
May 2014 – Feb 2026
Symbol, Odesa
Statistics
Senior Cashier
Sampling Hypothesis Testing
Data Integrity & Auditing: Conducted daily audits of cash operations and financial
reports in 1C, ensuring data accuracy and identifying accounting discrepancies
Correlation Statistical Significance
Financial Monitoring: Tracked and analyzed operational expenses and cash flows,
contributing to cost optimization through regular metric monitoring
A/B Testing
Operational Efficiency: Streamlined reporting standards and trained staff, leading to a
Planning Analysis Reporting measurable increase in team accuracy and a reduction in administrative errors
Performance Analysis & Reporting: Monitored daily sales targets (KPIs) and provided
data-backed insights to improve customer service and availability. Aggregated sales
Other Tools
performance data and prepared reports for management
SDLC Jupyter Excel 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)