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Data analyst
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- Data analyst, аналітик
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- Kyiv
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OLENA LISOVA
JUNIOR DATA ANALYST
Phone: [open contact info ](look above in the "contact info" section) | Email: [open contact info ](look above in the "contact info" section) | LinkedIn:
[open contact info ](look above in the "contact info" section) | Location: Kyiv, Ukraine
SUMMARY
Detail-oriented Data Analyst experienced in the core data lifecycle: extraction, rigorous cleaning,
exploratory analysis, and building interactive business intelligence dashboards. Skilled in
tracking KPIs, detecting data anomalies, and structuring data insights for strategic business
decision-making.
HARD SKILLS & TOOLS
• Data Analysis & Methodologies: Data Cleaning & Validation, Exploratory Data Analysis
(EDA), Cohort Analysis, User Segmentation, Retention Tracking, Churn Analysis, A/B
Testing, Data Storytelling
• Business Metrics & KPIs: Conversion Rate, ARPU (Average Revenue Per User), LTV
(Lifetime Value), Retention/Churn Metrics
• Mathematics & Analytics: Descriptive Statistics, Statistical Significance, Trend Analysis
• Databases & Cloud: SQL (PostgreSQL, BigQuery Standard SQL), DBeaver, Google
BigQuery
• Libraries & Environments: Python (Pandas, NumPy, Matplotlib, Seaborn), Jupyter
Notebook, Google Colab, GitHub, AI Prompting (Claude, Gemini)
• BI & Data Visualization: Tableau, Interactive Dashboards, Google Sheets (Advanced
Pivots, Charts), MS Excel
PROJECT EXPERIENCE
Project 1: Stack Overflow Global Tech Market & Python ROI Analysis Description & Goal:
Conducted a comprehensive data analysis exploring the 2024 Stack Overflow Survey (65k+
records) to evaluate the financial ROI and competency trends of Python across global tech
industries. My Role & Challenges: Extracted and isolated global compensation metrics from raw
survey datasets, resolved data quality issues, and handled missing values using Python. Tools &
Technologies: Python (Pandas, NumPy), Jupyter Notebook, Tableau. Result & Value: Built an
interactive Tableau dashboard featuring salary heatmaps, cohort-style adoption charts, and
scatter plots with mathematical trend lines, proving the financial premium of Python skills across
career stages to effectively guide talent acquisition strategies. Project Link:
https://public.tableau.com/app/profile/olena.lisova/viz/GlobalTechSalaries2024/GlobalTechSalar
ies2024
Project 2: Demographic Dynamics & Migration Metrics Analysis Description & Goal:
Performed macro-level demographic research investigating Ukraine's historical population
dynamics and the structural impact of the refugee migration crisis within the European Union.
My Role & Challenges: Managed the full data pipeline from extraction to visualization, ensuring
statistical accuracy while transforming complex unformatted counts into meaningful indicators.
Tools & Technologies: SQL, Python (Pandas), Tableau, Data Storytelling. Result & Value:
Extracted and filtered UN migration datasets using SQL, applied Python for data cleaning, and
engineered a Tableau dashboard with population area charts, gender-split trends, and refugee
geographic distribution maps, delivering a production-ready pipeline for analyzing demographic
shifts. Project Link:
https://public.tableau.com/app/profile/olena.lisova/viz/DemographicShiftsMigrationCrisisinUkra
ine/DemographicShiftsMigrationCrisisinUkraine
WORK EXPERIENCE
HTL Ukraine LLC (Novomatic group) | Jan 2026 – May 2026 Data Analyst (Internship)
Core Duties:
• Monitored and audited daily slot machine performance and live transaction data using
SQL and Python to detect behavioral anomalies and trends.
• Extracted and structured complex transactional datasets to identify financial deviations,
ensuring seamless data flow.
• Prepared and streamlined compliant financial and structural reports tailored to high-level
stakeholding and external legal requirements.
Achievements:
• Isolated critical deviations in Return to Player (RTP) percentages, providing data-driven
recommendations that enabled immediate game balance corrections.
• Calculated Gross Gaming Revenue (GGR) trends and delivered 100% compliant
analytical documentation for the KRAIL regulatory authority.
EDUCATION
IT School GoIT | 2025 – 2026 Course: Data Analyst
National University of Life and Environmental Sciences of Ukraine | 2004 – 2010 Degree:
Specialist's degree, Animal Medicine
LANGUAGES
• Ukrainian – Native
• English – Intermediate
JUNIOR DATA ANALYST
Phone: [
[
SUMMARY
Detail-oriented Data Analyst experienced in the core data lifecycle: extraction, rigorous cleaning,
exploratory analysis, and building interactive business intelligence dashboards. Skilled in
tracking KPIs, detecting data anomalies, and structuring data insights for strategic business
decision-making.
HARD SKILLS & TOOLS
• Data Analysis & Methodologies: Data Cleaning & Validation, Exploratory Data Analysis
(EDA), Cohort Analysis, User Segmentation, Retention Tracking, Churn Analysis, A/B
Testing, Data Storytelling
• Business Metrics & KPIs: Conversion Rate, ARPU (Average Revenue Per User), LTV
(Lifetime Value), Retention/Churn Metrics
• Mathematics & Analytics: Descriptive Statistics, Statistical Significance, Trend Analysis
• Databases & Cloud: SQL (PostgreSQL, BigQuery Standard SQL), DBeaver, Google
BigQuery
• Libraries & Environments: Python (Pandas, NumPy, Matplotlib, Seaborn), Jupyter
Notebook, Google Colab, GitHub, AI Prompting (Claude, Gemini)
• BI & Data Visualization: Tableau, Interactive Dashboards, Google Sheets (Advanced
Pivots, Charts), MS Excel
PROJECT EXPERIENCE
Project 1: Stack Overflow Global Tech Market & Python ROI Analysis Description & Goal:
Conducted a comprehensive data analysis exploring the 2024 Stack Overflow Survey (65k+
records) to evaluate the financial ROI and competency trends of Python across global tech
industries. My Role & Challenges: Extracted and isolated global compensation metrics from raw
survey datasets, resolved data quality issues, and handled missing values using Python. Tools &
Technologies: Python (Pandas, NumPy), Jupyter Notebook, Tableau. Result & Value: Built an
interactive Tableau dashboard featuring salary heatmaps, cohort-style adoption charts, and
scatter plots with mathematical trend lines, proving the financial premium of Python skills across
career stages to effectively guide talent acquisition strategies. Project Link:
https://public.tableau.com/app/profile/olena.lisova/viz/GlobalTechSalaries2024/GlobalTechSalar
ies2024
Project 2: Demographic Dynamics & Migration Metrics Analysis Description & Goal:
Performed macro-level demographic research investigating Ukraine's historical population
dynamics and the structural impact of the refugee migration crisis within the European Union.
My Role & Challenges: Managed the full data pipeline from extraction to visualization, ensuring
statistical accuracy while transforming complex unformatted counts into meaningful indicators.
Tools & Technologies: SQL, Python (Pandas), Tableau, Data Storytelling. Result & Value:
Extracted and filtered UN migration datasets using SQL, applied Python for data cleaning, and
engineered a Tableau dashboard with population area charts, gender-split trends, and refugee
geographic distribution maps, delivering a production-ready pipeline for analyzing demographic
shifts. Project Link:
https://public.tableau.com/app/profile/olena.lisova/viz/DemographicShiftsMigrationCrisisinUkra
ine/DemographicShiftsMigrationCrisisinUkraine
WORK EXPERIENCE
HTL Ukraine LLC (Novomatic group) | Jan 2026 – May 2026 Data Analyst (Internship)
Core Duties:
• Monitored and audited daily slot machine performance and live transaction data using
SQL and Python to detect behavioral anomalies and trends.
• Extracted and structured complex transactional datasets to identify financial deviations,
ensuring seamless data flow.
• Prepared and streamlined compliant financial and structural reports tailored to high-level
stakeholding and external legal requirements.
Achievements:
• Isolated critical deviations in Return to Player (RTP) percentages, providing data-driven
recommendations that enabled immediate game balance corrections.
• Calculated Gross Gaming Revenue (GGR) trends and delivered 100% compliant
analytical documentation for the KRAIL regulatory authority.
EDUCATION
IT School GoIT | 2025 – 2026 Course: Data Analyst
National University of Life and Environmental Sciences of Ukraine | 2004 – 2010 Degree:
Specialist's degree, Animal Medicine
LANGUAGES
• Ukrainian – Native
• English – Intermediate
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