Viktoriia

Viktoriia Mladonova
Data Analyst
PROFILE
Junior Data Analyst with hands-on experience in Google Sheets, SQL
and Python, with a skills in data cleaning and data visualization. Skilled
in working with datasets, identifying trends and getting actionable
insights. I also use AI tools to simplify data analysis tasks, optimize SQL
queries, and improve workflow efficiency. I combine analytical thinking
with a technical background and a structured approach to problem-
solving. My previous experience as a Frontend Developer has
strengthened my ability to analyze requirements, investigate complex
problems, search for optimal solutions and being an effective
collaborator. Seeking a Junior Data Analyst opportunity where I can
apply my technical and analytical skills to real-world business problems
and continue growing in data analytics.
CONTACT
PROJECT EXPERIENCE
[open contact info](look above in the "contact info" section)
Ecommerce funnel
Telegram Tools: BigQuery та Tableau.
Description: Develop a dashboard to analyze conversion rates for an e-
Linkedin commerce marketing team. The dashboard enables tracking
conversion funnel stages, evaluating marketing campaign performance,
[open contact info](look above in the "contact info" section) identifying bottlenecks, and finding opportunities to improve
conversions.
Vinnytsia, Ukraine
My tasks:
Data processing and visualization
Calculate main metrics and conversion rate
Analysis of conversion rates across different categories
HARD SKILLS Delivered insights
SQL Result: Identified the weakest stage of the conversion funnel,
Python determined which marketing campaign achieved the highest
Google Sheets/MS Excel conversion rate, and analyzed how conversion rates varied across visitor
Data Cleaning & Validation segments and traffic sources.
Data Visualization WORK EXPERIENCE
AI-assisted Data Analysis Frontend Developer
BigQuery P2H
Tableau, Power BI Jul 2011 - Aug 2026
Amplitude Developed and maintained websites and e-commerce shops based
Google Analytics on client requirements and project specifications.
Pandas, NumPy, Matplotlib, Translated business and functional requirements into technical
Seaborn, Jupyter Notebook solutions and implemented requested functionality.
DBeaver Participated in technical discussions, analyzed different
implementation approaches and contributed to solution design.
Jira
Achievements:
Statistic A/B Tests
Analyzed technical requirements and identified efficient solutions for
project implementation.
Identified performance bottlenecks and optimized website loading
SOFT SKILLS speed.
Time management Investigated complex technical issues, identified root causes, and
Responsibility implemented effective solutions.
Attention to details Improved website accessibility and usability in accordance with
Team player WCAG standards.
Analytical Thinking EDUCATION
GoIT - start your career in IT
Data Analysis
Sep 2024 - Jan 2025
LANGUAGES National Aerospace University -'Kharkiv Aviation Institute'
English - Intermediate Information Technology
Ukrainian - Native Sep 2005 - Feb 2011