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Analyst
- City of residence:
- Khmelnytskyi
- Ready to work:
- Kyiv, Remote
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ROMAN HONTA Phone: [open contact info ](look above in the "contact info" section)
Email: [open contact info ](look above in the "contact info" section)
Portfolio Website: link
Linkedin: link
Junior BI Analyst Location: Khmelnyskyy Github: link
ABOUT ME BI Analyst at Nestlé with hands-on experience turning messy, complex datasets into
clear insights using Power BI, SQL and Excel. I bridge the gap between business and tech
translating stakeholders' requirements into data models, dashboards, and process
improvements that people actually use. I understand what the numbers mean and why
they matter. Fluent in the language of both stakeholders and data.
Technical Skills:
Programming & Tools: Power BI, Data Analytics: Data Cleaning, Data Other Tools: Jira, Trello,
Tableau, Python (Pandas, NumPy, Visualization, Dashboarding, CRM Systems
Matplotlib), SQL, Excel Correlation Analysis, KPIs
Languages: Certifications:
English (Advanced), German (Upper- Data Analysis Course, Financial Analysis &
Intermediate), Ukrainian (Native) Investment Banking (365 Careers)
EXPERIENCE Junior BI Analyst at Nestle
Sep 2025 - Currently
Learnt to pull data from Snowflake;
Cleaned messy data from various data sources in Power Query;
Developed simple dashboards with KPIs to track tasks’ progress;
Collaborated with cross-functional business and IT stakeholders to gather requirements and deliver
change initiatives;
Translated business needs into technical tasks and process improvements;
Performed As-Is / To-Be process analysis to identify gaps and change management needs;
PROJECTS Automated Data Cleaning in SQL (link)
Learnt how to create stored procedure (Copy_and_clean_data);
Used a MySQL event scheduler to run the cleaning job every 2 minutes;
Cleaned and standardized the data
Data Cleaning in SQL (link)
Learnt to create a Staging Table;
Standardized inconsistencies in text columns and converted date formats;
Handle Null or Blank Values Identifies missing or blank values for further treatment (e.g., imputation or deletion);
EDA in Python (link)
Cleaned and analyzed 5K+ records from UCI dataset;
Built correlation heatmap and regression model identifying key quality drivers;
EDUCATION Bachelor in Linguistics Master in Finance
Ostroh Academy Ostroh Academy
2018-2022 2023-2024
Major in English/German/Polish and translation Major in Finance and Business Analysis
Thesis on ‘Formation of foreign language lexical Thesis on ‘Value investment in current realities of
competence of first-year students based on inefficient markets’
authentic materials’
Email: [
Portfolio Website: link
Linkedin: link
Junior BI Analyst Location: Khmelnyskyy Github: link
ABOUT ME BI Analyst at Nestlé with hands-on experience turning messy, complex datasets into
clear insights using Power BI, SQL and Excel. I bridge the gap between business and tech
translating stakeholders' requirements into data models, dashboards, and process
improvements that people actually use. I understand what the numbers mean and why
they matter. Fluent in the language of both stakeholders and data.
Technical Skills:
Programming & Tools: Power BI, Data Analytics: Data Cleaning, Data Other Tools: Jira, Trello,
Tableau, Python (Pandas, NumPy, Visualization, Dashboarding, CRM Systems
Matplotlib), SQL, Excel Correlation Analysis, KPIs
Languages: Certifications:
English (Advanced), German (Upper- Data Analysis Course, Financial Analysis &
Intermediate), Ukrainian (Native) Investment Banking (365 Careers)
EXPERIENCE Junior BI Analyst at Nestle
Sep 2025 - Currently
Learnt to pull data from Snowflake;
Cleaned messy data from various data sources in Power Query;
Developed simple dashboards with KPIs to track tasks’ progress;
Collaborated with cross-functional business and IT stakeholders to gather requirements and deliver
change initiatives;
Translated business needs into technical tasks and process improvements;
Performed As-Is / To-Be process analysis to identify gaps and change management needs;
PROJECTS Automated Data Cleaning in SQL (link)
Learnt how to create stored procedure (Copy_and_clean_data);
Used a MySQL event scheduler to run the cleaning job every 2 minutes;
Cleaned and standardized the data
Data Cleaning in SQL (link)
Learnt to create a Staging Table;
Standardized inconsistencies in text columns and converted date formats;
Handle Null or Blank Values Identifies missing or blank values for further treatment (e.g., imputation or deletion);
EDA in Python (link)
Cleaned and analyzed 5K+ records from UCI dataset;
Built correlation heatmap and regression model identifying key quality drivers;
EDUCATION Bachelor in Linguistics Master in Finance
Ostroh Academy Ostroh Academy
2018-2022 2023-2024
Major in English/German/Polish and translation Major in Finance and Business Analysis
Thesis on ‘Formation of foreign language lexical Thesis on ‘Value investment in current realities of
competence of first-year students based on inefficient markets’
authentic materials’
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The candidate's resume is posted at https://www.work.ua/resumes/15414859/