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Work experience

Дата-аналітик

from 03.2022 to 04.2025 (3 years 2 months)
dakota programming, Дистанційно (IT)

*Designed and automated end-to-end data pipelines ingesting XML, databases, and tracking systems into structured analytical layers, reducing data availability time from 1–2 weeks to 1 day (8–10x acceleration).
*Normalized complex nested XML structures into relational schemas and built aggregated analytical views for BI reporting.
*Optimized SQL queries (rewrote nested subqueries into JOIN + GROUP BY structures), reducing report execution time from 5–10 minutes to seconds.
*Led data quality initiatives (duplicate removal, invalid date standardization), improving reporting accuracy from ~80% to ~99%.
*Automated data validation and preprocessing using Python (Pandas), reducing manual preparation time by 80–90% and lowering reporting errors by up to 50%.
*Developed self-service dashboards in Power BI and Tableau with segmentation and drill-down capabilities for product, marketing, and operations teams.
*Built portfolio projects replicating real-world business cases (retention, revenue modeling, cohort analysis) using SQL and Python, published on GitHub: 🔗https://github.com/nataweb
Conducted independent analytical research on Kaggle datasets, transforming raw data into business insights with reproducible workflows. 🔗 https://www.kaggle.com/nataliawebmaster

Education

IT School GOIT

Data Analytics, Одеса
Higher, from 2025 to 2025 (less than 1 year)

Product Analysis
Marketing Analysis
Product Stages sush as: Acquisuition,Activitation,User Engagement,Retention,Monetization and theirs KPI's

ONMA

Navigation, Одеса
Higher, from 2008 to 2012 (4 years)

Knowledge and skills

• Analytical thinking
• PostgreSQL
• Здатність до навчання
• MS SQL Server
• MS Power BI
• Tableau
• Google Sheets
• Python
• Pandas
• NumPy
• Polaris
• A/B testing
• Statistics basic
• Ability to work in multitasking mode
• Google Analytics
• Looker Studio