Оксана

Gurzhyi Oksana
[відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація») | LinkedIn | GitHub | Telegram | Domat/Ems, Switzerland

SUMMARY __________
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. Fluent in English (C1) and German (B1). Strong collaborator
focused on translating data into actionable business insights.
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 __________
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.