Оксана

Gurzhyi Oksana

[открыть контакты](см. выше в блоке «контактная информация») | LinkedIn | GitHub | Telegram | Domat/Ems, Switzerland

SUMMARY __________

Junior Data / Product Analyst with hands-on experience in SQL, product analytics, and data visualization. Built
end-to-end analytics pipeline (GA4 → BigQuery → Looker Studio) and delivered insights influencing marketing strategy
and conversion.
Strong in user behavior analysis, funnels, and revenue metrics. Able to translate complex data into clear business
decisions for stakeholders. Currently seeking a Data Analyst / Product Analyst role in Switzerland.

TECHNICAL SKILLS __________

Data Analysis: SQL (PostgreSQL, BigQuery), Python (Pandas, NumPy, Matplotlib, scikit-learn)​
Visualization: Tableau, Looker Studio​
Analytics Tools: Google Analytics 4 (GA4), Google Tag Manager (GTM)​
Other: Excel, Google Sheets, GitHub

RELEVANT WORK EXPERIENCE __________

Data Analyst | Voda Aquatica Sep 2025 - Present

Built end-to-end analytics pipeline (GA4 → BigQuery → Looker Studio), enabling automated reporting and real-time
dashboards for stakeholders
Implemented GA4 tracking via GTM, including custom events for SPA (Next.js), improving data accuracy and coverage
of key user actions
Collaborated with stakeholders to define key metrics, funnels, and reporting requirements
Developed dashboards with KPIs, funnels, and user behavior insights to support business monitoring
Identified organic search as the primary acquisition channel and influenced marketing strategy
Recommended reducing paid advertising spend by 30% without loss of traffic based on data analysis
Translated complex analytical findings into clear, actionable recommendations for non-technical stakeholders

PROJECT EXPERIENCE __________

Product Analytics cases (E-commerce / Marketplace) Mar 2026
Analyzed conversion metrics and distinguished real product impact from misleading growth patterns
Identified behavioral drivers behind conversion changes and proposed data-driven product improvements

Advanced SQL & Data Modeling Jan 2026
Built complex SQL queries (CTEs, window functions, aggregations) to analyze large datasets
Performed cohort analysis, retention analysis, and LTV calculations
Structured raw data into analytical datasets for business decision-making

Revenue & Retention Analysis Jan 2025
Analyzed revenue metrics (churn, revenue churn, ARPU, seasonality)
Identified key drivers of revenue fluctuations and user behavior patterns
Provided recommendations to improve retention and monetization

Customer Segmentation (Python / ML) Aug 2025
Applied clustering (KMeans) and classification models to segment users
Identified high-value segments and behavioral patterns
Achieved 97% model accuracy
A/B Testing Analysis Dec 2024
Designed and analyzed A/B test for subscription page redesign
Applied statistical hypothesis testing to validate experiment results
Communicated experiment insights to support product decisions

Conversion Funnel Analysis (Tableau) Dec 2024
Analyzed user journey and identified drop-off points in onboarding funnel
Highlighted bottlenecks and proposed improvements to increase conversion

PREVIOUS EXPERIENCE __________

Head of Editorial Department / Lecturer - Dec 1996 – Feb 2022
Independent Entrepreneur

Managed editorial operations and led a team, developing strong stakeholder communication skills
Launched and operated a small business with stable 10–15% monthly ROI
Developed analytical thinking through business performance tracking and optimization
Published academic papers and taught data-related disciplines

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

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

Specialist Degree in Management 2001
Donetsk Institute of Tourist Business (Ukraine)