Михайло

MYKHAILO SUMMARY
KHARCHENKO Financial Data Analyst combining 20+ years of corporate finance experience
with modern data analytics skills. Expert at transforming raw financial data into
Financial Data Analyst actionable insights using SQL, Python, Tableau, and Excel. Experienced in
cohort analysis, revenue modeling, A/B testing, and building interactive
CONTACTS dashboards that drive financial decision-making.
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[открыть контакты](см. выше в блоке «контактная информация») PROJECT EXPERIENCE
LinkedIn
SaaS Revenue and User Retention Dashboard: Cohort Analysis
Telegram
and MRR Dynamics
Zvenygorodka, Ukraine
Tools: Tableau
HARD SKILLS Description: Performed deep financial data analysis of a SaaS product (June
2022 – May 2023): 1.33M revenue, 8,463 users, ARPPU of 157.49. Built cohort
SQL (BigQuery, DBeaver) retention matrices, waterfall revenue charts, and MRR trend visualizations.
Python (pandas, statistical analysis) Task: Extract, clean, and analyze financial datasets to build comprehensive
Tableau dashboards revealing revenue patterns, user retention cohorts, and MRR
dynamics for data-driven financial decisions.
Looker Studio
Excel (Advanced) Result: Delivered insights showing revenue peak of 162,260 (December 2022),
MRR decline patterns, and 64% cohort retention drop, enabling predictive
Statistical Analysis & Hypothesis Testing
financial modeling.
A/B Testing
Cohort Analysis GA4 Ecommerce Funnel Dashboard
Data Cleaning and Wrangling Tools: SQL (BigQuery), Looker Studio
Google Analytics 4 Description: Analyzed 867K+ user events from Google Analytics 4 ecommerce
data using BigQuery SQL. Built conversion funnel analysis with CTEs,
correlation calculations, and multi-step user journey tracking.
SOFT SKILLS Task: Query and analyze large-scale ecommerce event data to identify
conversion bottlenecks, calculate funnel drop-off rates, and provide data-driven
Team Work revenue optimization recommendations.
Analytical Thinking
Result: Created an interactive funnel dashboard identifying key drop-off points
Attention to Detail in the purchase journey, enabling targeted optimization strategies for revenue
Creativity improvement.
Good Communication
WORK EXPERIENCE
LANGUAGES
State Enterprise "Zvenyhorodka Forestry"
Ukrainian - native
Role: Chief Economist 2000 – 2024
English - intermediate
• Analyzed financial performance datasets using Excel and statistical
EDUCATION methods
• Built financial reporting models to monitor company KPIs
2024-2025
• Optimized operational expenses by 15% through financial data analysis
IT School GoIT
Fullstack Developer / Data Analyst • Automated reporting processes improving decision-making efficiency

1997-2003
Uman State Agrarian Academy
Master's degree in Accounting and Auditing