Марина

Maryna Yarmolenko
Data Analyst
Ukraine, Poltava · telegram · [відкрити контакти](див. вище в блоці «контактна інформація») · linkedin · github
SUMMARY
I am an enthusiastic, driven and motivated analyst with 15 years of experience in data and decision-
making. My previous experience has taught me how to think critically and rely on data to make important
decisions. I am proficient in SQL, Google Sheets, Tableau, Power Bi, and Python libraries for data analysis.
I also have a good understanding of key product metrics and A/B testing principles. I gained this
knowledge during in-depth data analysis courses as well as through my own projects. I am passionate
about continuously improving my skills in this area and want to bring my experience to a company that
values data-driven decision making. I am eager to utilize my skills to contribute to the success of the
company and achieve our common goals.
SKILLS
SQL (PostgreSQL, BigQuery) Power Bi
Google Sheets (Vlookup, Conditional formating, Pivot table) Python libraries for analysis
Tableau A/B testing
PROJECTS
github Inu_neko_sales
Analyzing the revenue and popularity of INU+NEKO products to select 5 cat line products and 5 dog
line products to be offered in the subscription to get 500 subscribers in the first year. Tools used for sales
analysis: Google Sheets, PostgreSQL, Visual Studio Code for database management and SQL query
execution, GitHub, Tableau for building visualizations and using functions: Calculated field, LOD
expressions, Quick Table Calculations to analyze the company's sales.
Tableau Revenue Analysis
Used PostgreSQL to extract data from 2 different related tables from a database of sales and game
users using LEFT JOIN
Used PostgreSQL (STE, window functions (LAG), aggregate functions and filtering) to calculate product
metrics (MRR, Paid Users, ARPPU, Churn Rate, Churned revenue, Expansion MRR, Contraction MRR,
LT, LTV) and improve reporting process
Downloaded and visualized data using Tableau (Calculated Fields, Quick Table Calculations: Percent
Difference From Previous, Percent From First, cohort analysis) for cash flow analysis, which allowed us
to monitor and analyze the project's financial data, including revenues, expenses, and profits.
Data filters were created: by date, user language, and user age.
PROFESSIONAL EXPERIENCE
Chief Accountant - Yavir 2017 - 2024
Increased the company's profit by 20%
Perfected the accounting and reporting system
Established strong relationships with a wide network of suppliers
Senior accountant - Yavir 2012 - 2017
Implemented a new reporting using Exel which help reduced processing time by 50%
Generated reports monthly for financial and developmental analysis
EDUCATION LANGUAGES
Coursera English - Intermediate
Microsoft Power BI Data Analyst Ukraine - Native
Meta Data Analyst
GoIT - start your career in IT
Data analysis
Kharkiv National University of Radioelectronics
Master's degree Information management systems and technologies