Оксана

Gurzhyi Oksana

[open contact info](look above in the "contact info" section) | LinkedIn | GitHub | Telegram | Domat/Ems, Switzerland

SUMMARY __________

Motivated and analytically-minded Junior Data Analyst with hands-on experience in data analysis and visualization
across 7+ analytical projects in multiple industries. Background in teaching information and data-related disciplines,
enabling clear communication of complex insights to non-technical stakeholders. Proficient in SQL, Python, Excel,
Google Sheets, and BI tools including Tableau, Looker Studio, and Power BI. I enjoy turning raw data into clear, practical
insights that help teams understand what is actually happening and make better decisions. Fluent in English (C1) and
German (B1).

TECHNICAL SKILLS __________

SQL (PostgreSQL, BigQuery), Python (NumPy, Pandas, Mathplotlib), Excel, Google Sheets, Tableau, Looker Studio,
Power BI, GitHub, GA4, GTM.

EDUCATION __________
Data Analyst Aug 2024 - Jan 2025
IT School GoIT Online

Data Analytics Career Path: 72 Days of Data Analyst Bootcamp Aug 2025
UDEMY Online

RELEVANT WORK EXPERIENCE __________

Data Analyst | Voda Aquatica Sep 2025 - Present

GA4 Implementation: Implemented Google Analytics 4 tracking via Google Tag Manager for a website. Configured
event tracking for add-to-cart actions, catalog views, form submissions, and custom events for SPA navigation in a
Next.js environment.
Analytics Infrastructure & Reporting: Built an end-to-end GA4 → Google BigQuery → Looker Studio data pipeline,
including event export configuration, optimized SQL queries and views, and dashboards with real-time automatic data
refresh.
Data Visualization: Developed interactive dashboards with funnels, KPIs, and analytical charts using GA4 data in
BigQuery and Looker Studio, enabling clear and standardized reporting for business stakeholders.
Data Analysis & Business Insights: Conducted traffic source analysis and identified organic search as the primary
acquisition channel. Based on analytical findings, recommended reducing paid advertising spend by 30%, as strong
on-site SEO ensured consistent organic traffic and high search visibility.
Communication of Results: Translated analytical findings into clear, actionable insights and recommendations,
supporting fast and confident data-driven decision-making.

PROJECT EXPERIENCE __________

Data-Analytics-advanced-SQL Jan 2026
Objective: To demonstrate strong practical skills in advanced SQL and analytical data modeling through real-world data
analytics tasks, including cohort analysis, retention, LTV, and performance-oriented query design.
A hands-on data analytics portfolio focused on advanced SQL querying and analytical techniques. The project includes
case studies covering window functions, recursive CTEs, multidimensional aggregations, query optimization, and
analytical data mart design. The portfolio highlights the ability to structure complex queries, analyze distributions and
cohorts, and translate raw data into meaningful business insights using PostgreSQL.

Revenue Metrics Jan 2025
Objective: Analyze revenue dynamics and user behavior to identify growth opportunities and improve retention and
monetization.
Conducted analysis of revenue metrics, including churn rate, revenue churn, seasonal trends, and user behavior. Evaluated
key performance indicators (KPIs) to identify patterns and drivers of revenue changes. Assessed the impact of user churn
on revenue dynamics and analyzed seasonal effects on user activity and spending. Delivered actionable insights and
recommendations to enhance user retention, increase ARPU, and optimize overall revenue performance.

Striker Performance Classification | Python, scikit-learn, pandas, matplotlib Aug 2025
Objective: Evaluate and classify football strikers using data-driven methods to highlight top-performing players.
Analyzed data of 500 football strikers using feature engineering, KMeans clustering, and logistic regression. Identified
high-performing players with 97% model accuracy.

A/B Testing with Python Dec 2024
Objective: Use A/B testing to analyze user behavior and determine the effectiveness of a new subscription page design
on conversion.
Conducted an A/B test to evaluate the impact of a new subscription page design on conversion rates in a mobile
application. Analyzed user behavior data, performed statistical hypothesis testing, and delivered insights that informed
product decisions.

Conversion funnel Dec 2024
Objective: Evaluate the effectiveness of the sales funnel and onboarding process using data visualization to improve user
conversion and retention. Evaluation of the sales funnel and customer onboarding journey (using Tableau).

OTHER WORK EXPERIENCE __________

Head of the editorial and publishing department/ Lecturer (Institute) - Dec 1996 – Feb 2022
Independent Entrepreneur

Key Achievements: Progressed from a PC Operator to a Department Head.
As an educator, published 5+ academic papers and developed methodological guidelines for part-time students.
In entrepreneurship, launched and managed a small business from scratch, achieving a sustained 10–15% monthly ROI
with a 6–9 month payback period.

OTHER EDUCATION __________

Full stack Developer Dec 2022 - Dec 2023
IT School GoIT Online

Higher Education Diploma (Specialist Degree) in Management 2001
Donetsk Institute of Tourist Business (Donetsk, Ukraine)

SOFT SKILLS __________

Leadership demonstrated through launching and managing a small business.
Strong analytical skills developed by building a comprehensive data analysis framework for Voda Aquatica from scratch.