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Maryna
Junior Product Analyst
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Junior Product Analyst
SUMMARY
Junior Product Analyst with experience analyzing user behavior, retention, and monetization in subscription-based products. Skilled in SQL,
Power BI, Tableau, and Excel for evaluating customer lifecycle and revenue performance.
Experienced in MRR analysis, churn detection, ARPPU, and LTV calculation to support product performance evaluation. Applied SQL window
functions to monitor user engagement and revenue growth drivers.
Strong analytical thinking and ability to translate user behavior into actionable product insights.
HARD SKILLS
SQL, Data Analysis, Retention Analysis, Churn Analysis, LTV, ARPPU, KPI Tracking, Revenue Analysis, Data Visualization
TOOLS
Power BI, Tableau, Looker Studio, PostgreSQL, BigQuery, Excel, Google Sheets
WORK EXPERIENCE
Buyer | Product & Customer Data Analysis
Self-employed | 2010 – Present
Analyzed customer purchase behavior and product performance to support operational decision-making.
Evaluated product performance and customer response to marketing content using sales data.
Identified high-performing product categories through order and revenue analysis.
Created analytical reports to support marketing and operational decisions.
Designed promotional content (static and animated banners in Canva) and managed social media updates.
Key Achievements
Automated order tracking system in Google Sheets, improving reporting efficiency.
Built and maintained a loyal client base of returning customers through data-informed decision-making.
Delivered regular analytical reports based on order and customer data.
PROJECT EXPERIENCE
SaaS Revenue & Retention Analysis | SQL + Tableau
Tools: PostgreSQL, SQL, Tableau
GitHub: https://github.com/marusa07201/saas-revenue-retention-analysis
Tableau: https://public.tableau.com/app/profile/maryna.kolisnichenko6018/viz/Final_Project_17663485441580/Revenuemetrics
Analyzed Monthly Recurring Revenue (MRR) and paid user dynamics in a subscription-based product.
Identified churned users and revenue using lifecycle analysis with SQL window functions.
Evaluated Expansion and Contraction MRR to assess revenue growth drivers.
Built an interactive Tableau dashboard to monitor retention and monetization trends over time.
Segmented revenue and paid user dynamics by age and language.
User Activity & Revenue Dashboard | Power BI
Tools: Power BI, DAX, Power Query
GitHub: https://github.com/marusa07201/powerbi-user-activity-dashboard
Analyzed user engagement and revenue trends to evaluate product performance.
Created KPI measures to monitor customer activity and conversion patterns.
Supported marketing decisions through interactive dashboard insights.
Revenue Analysis Project | SQL
Tools: PostgreSQL, SQL
GitHub: https://github.com/marusa07201/sql-revenue-analysis
Analyzed revenue trends and refund rates to evaluate product performance.
Calculated customer contribution using SQL window functions.
Generated monthly revenue trends to support campaign planning.
EDUCATION
IT School “GoIT” – Data Analysis (2025)
Kyiv National Economic University named after Vadym Hetman – Bachelor’s degree, Accounting and Auditing (2003–2011, with academic
leave for maternity)
LANGUAGES
English – Intermediate (B1)
Ukrainian - Native
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