Maryna

Maryna Kolisnichenko
[открыть контакты](см. выше в блоке «контактная информация») - [открыть контакты](см. выше в блоке «контактная информация») - Vyshneve, Kyiv, Ukraine. -
[открыть контакты](см. выше в блоке «контактная информация») - @Maryna_Kolis
Junior Data Analyst

SUMMARY
Data Analyst with hands-on experience analyzing real e-commerce sales, revenue, and customer behavior data.
Skilled in SQL, Tableau, Power BI, and Excel to transform raw data into actionable insights and interactive dashboards.
Experienced in revenue analysis, KPI tracking, churn and customer behavior analysis, and performance monitoring.
Strong analytical thinking and ability to translate business questions into measurable metrics and data-driven insights.
Able to connect data with real-world business context and identify key drivers of performance and growth opportunities.
HARD SKILLS
SQL (CTE, Window Functions), Data Analysis, Data Cleaning, Data Visualization, KPI Development, Revenue Analysis, Customer
Analysis, Churn Analysis, Retention Analysis, Trend Analysis, Reporting, DAX, Power Query, Excel (Pivot Tables, Lookups)
TOOLS
PostgreSQL, BigQuery, Tableau, Power BI, Excel, Google Sheets, Pandas, NumPy
WORK EXPERIENCE
Buyer | Sales & Customer Data Analysis
Self-employed | 2010 – Present
Analyzed real e-commerce data (orders, revenue, customer behavior) to identify trends, optimize product selection, and improve
business performance.
Conducted revenue, refund, and customer behavior analysis to evaluate product performance
Identified seasonal trends and demand patterns to support purchasing decisions
Tracked key business metrics and monitored performance over time
Structured and maintained datasets for reporting and analysis
Built analytical reports to support operational and marketing decisions
Key Achievements
Automated order tracking and reporting in Google Sheets, improving efficiency
Identified core group of repeat customers generating the majority of revenue
Improved product selection using data-driven insights on demand and seasonality
PROJECT EXPERIENCE
Business Overview: Revenue & Customer Insights | Tableau
Tools: Tableau, Google Sheets, Excel
https://github.com/marusa07201/buyer-service-analytics.git
Built an end-to-end analytical dashboard based on real business data
Analyzed revenue trends, customer behavior, and retention patterns
Identified high churn rate (~83% inactive users) as a key growth opportunity
Segmented revenue by region (US, EU, UK) and customer activity
Connected performance drops to external factors (COVID-19, economic crises, blackouts)
Provided business recommendations to improve retention and revenue stability
User Activity & Revenue Dashboard | Power BI
Tools: Power BI, DAX, Power Query
https://github.com/marusa07201/powerbi-user-activity-dashboard
Built an interactive dashboard to analyze user activity and revenue trends
Created DAX measures for key KPIs (Total Revenue, Net Revenue)
Identified usage patterns to support business decision-making
Revenue Analysis Project | SQL
Tools: PostgreSQL, SQL
https://github.com/marusa07201/sql-revenue-analysis
Performed revenue and refund rate analysis using SQL
Used CTEs and window functions to calculate revenue contribution
Generated monthly revenue trends and running totals
EDUCATION
IT School “GoIT” – Data Analysis (2025)
Kyiv National Economic University — Accounting and Auditing
LANGUAGES
English – Intermediate (B1)
Ukrainian - Native