Olha
Junior Data Analyst, 35 000 UAH
- Employment type:
- full-time
- Age:
- 38 years
- City of residence:
- Dnipro
- Ready to work:
- Remote
Contact information
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You can get this candidate's contact information from https://www.work.ua/resumes/20296073/
Work experience
Career break
from 10.2012 to 10.2015
(3 years)
Parental leave
English teacher
from 06.2010 to 09.2026
(16 years 4 months)
Self-employed, Дистанційно (Освіта, наука)
70+ happy clients who unlocked new career opportunities in tech through confident professional communication
Designed personalized English learning programs based on individual goals, current skill level, and professional needs. Worked primarily with IT professionals, focusing on practical English for the workplace and professional communication. Developed clients' communication skills for real-world professional situations, including interviews, meetings, and workplace interactions.
Education
Oles Honchar Dnipro National University
English Language and Literature
Higher, from 2005 to 2010 (5 years)
Additional education and certificates
Data Analytics Pro with AI (Hillel IT School)
2006
Knowledge and skills
- Data analysis
- Data visualization
- PostgreSQL
- Python
- MS Power BI
- Power Query
- DAX
- Google Sheets
- MS Excel
- Canva
Language proficiencies
- Ukrainian — fluent
- English — above average
Additional information
Completed the Data Analytics Pro with AI training course, developing practical skills in SQL, Python, Power BI, Power Query, DAX, data cleaning, data visualization, and Exploratory Data Analysis (EDA). The program included working with real-world datasets and applying analytical methods to turn raw data into meaningful insights.
As part of my portfolio, I completed an independent Retail Sales & Customer Analysis pet project based on real-world sales data.
I used SQL for data extraction and analysis, Excel for data preparation and validation, and Power BI with Power Query and DAX to transform the data, build calculations, and create an interactive dashboard. I analyzed sales performance, explored key trends and patterns, and translated the findings into clear, actionable insights.
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