Nataliia

NATALIIA PEREHUDOVA
Data analyst

Volodymyr, Ukraine
+3809232232844
[open contact info](look above in the "contact info" section)
Linkedin
Telegram

SUMMARY
HARD SKILLS Highly motivated, analytical and detail-oriented data analyst with a strong
SQL, PostgreSQL foundation in statistics and knowledge of financial statements and
Python accounting. My priority is to provide practical information to guide business
Product analysis decisions. Possess data visualization and storytelling techniques to
A/B Tests effectively communicate results to stakeholders. Proven ability to work both
Advertising companies analysis independently and collaboratively in fast-paced environments, with a
strong commitment to continuous learning and professional development.
TOOLS
MS Ecxel WORK EXPERIENCE
Tableau
Google analytics Chief accountant
2019 - 2024
Power BI
Primary care medical center
My duties included: preparation of monthly, quarterly and annual financial
SOFT SKILLS statements, preparation of statistical and tax reports, control over the
Analitic thinking calculation and payment of taxes, control over bank payments and the
Emotional intelligence absence of debt. Managing accountant team - 3 accountants and 1
economist. In this position,
Attention to detail
I implemented computerized accounting from the beginning.
Meeting deadlines
Responsibility
Chief Accountant, economist
Lifelong Learning 2007-2018
Blood transfusion station
My duties included control over the use of budget funds, receipt of funds from the
LANGUAGES sale of manufactured products, as well as calculation of the cost of components
ENGLISH - INTERMEDIATE and blood products, preparation of financial, budget and economic reports, analysis
UKRAINIAN - NATIVE of receipts and use of funds.
I introduced electronic accounting and developed the calculation of the cost of
POLISH - INTERMEDIATE
newly introduced drugs.

EDUCATION PROJECT EXPERIENCE
DAU, MAU and cohort analisys
Data analysis
In this project, I calculated various metrics: MAU, DAU, user retention and
GoIT - IT Shool
cohort analysis. I also performed basic visualization to understand user
2024 activity. For this purpose, I used Google Sheets.
Accounting Visualization and calculation of metrics in Looker Studio
Volyn Institute of Economics and Using SQL queries and data from the PostgreSQL data source, I calculated
Management CPC, CPM, CTR, ROMI metrics. On the basis of the received data, she
1999-2005 performed visualization and created a dashboard.
Visualization and calculation of metrics in Tableau
To create a dashboard in Tableau, I used data on revenue, number of users
by months of activity, location and product name. I calculated the total
Revenue, ARPPU and Paid Users Count