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Data analyst
- Considering positions:
- Data analyst, Data engineer, Database analyst
- City of residence:
- Uzhhorod
- Ready to work:
- Remote
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ALINA POPOVYCH | [open contact info ](look above in the "contact info" section) | [open contact info ](look above in the "contact info" section) | LinkedIn
DATA ANALYST | ANALYTICS & DATA ENGINEERING SPECIALIST
ABOUT
I am a results-driven Data Analyst with 1+ year of commercial experience in extracting, cleaning, and analyzing
complex datasets to drive strategic business decisions. Proficient in SQL, and modern data visualization tools like
Power BI. I specialize in transforming raw data into actionable insights, building interactive dashboards, and
optimizing ETL processes to support cross-functional teams and improve operational efficiency.
SKILLS
Languages & Warehouses: SQL, SAP HANA, Snowflake.
Data Visualization & BI: Power BI, Advanced MS Excel (Power Query, Pivot Tables, Macros).
Analytics & Methods: Data Modeling, Statistical Analysis, ETL Pipelines, Data Cleaning.
Tools & Cloud: KNIME, Git, Google Analytics, Jira.
PROFESSIONAL EXPERIENCE
Nestle | Data Analyst | Remote (Sep 2025 - Present)
● Extracted and analyzed sales and supply chain data from SAP HANA and relational databases using SQL and
Python, identifying key trends that helped optimize inventory levels and reduce operational costs by 8%.
● Designed visual data workflows and automated ETL pipelines using KNIME to clean, blend, and aggregate
complex data from multiple sources into a centralized Snowflake data warehouse, saving ~10 hours of manual
work weekly.
● Designed and maintained interactive Power BI dashboards for stakeholders, providing real-time visibility into KPIs,
regional sales performance, and marketing ROI.
● Executed ad-hoc data queries and generated custom reports for cross-functional teams (Sales, Marketing, Supply
Chain), translating complex business questions into actionable insights.
● Implemented data validation checks within KNIME workflows to identify anomalies and inconsistencies in daily
SKU (Stock Keeping Unit) performance datasets, improving overall data accuracy by 15%.
Stack: SQL, KNIME, Power BI, SAP HANA, Snowflake, MS Excel
EDUCATION
Bachelor of Mathematical Sciences| Uzhhorod National University (Ukraine, Sep 2021 - Jun 2025)
LANGUAGES English B2 • Ukrainian Native
DATA ANALYST | ANALYTICS & DATA ENGINEERING SPECIALIST
ABOUT
I am a results-driven Data Analyst with 1+ year of commercial experience in extracting, cleaning, and analyzing
complex datasets to drive strategic business decisions. Proficient in SQL, and modern data visualization tools like
Power BI. I specialize in transforming raw data into actionable insights, building interactive dashboards, and
optimizing ETL processes to support cross-functional teams and improve operational efficiency.
SKILLS
Languages & Warehouses: SQL, SAP HANA, Snowflake.
Data Visualization & BI: Power BI, Advanced MS Excel (Power Query, Pivot Tables, Macros).
Analytics & Methods: Data Modeling, Statistical Analysis, ETL Pipelines, Data Cleaning.
Tools & Cloud: KNIME, Git, Google Analytics, Jira.
PROFESSIONAL EXPERIENCE
Nestle | Data Analyst | Remote (Sep 2025 - Present)
● Extracted and analyzed sales and supply chain data from SAP HANA and relational databases using SQL and
Python, identifying key trends that helped optimize inventory levels and reduce operational costs by 8%.
● Designed visual data workflows and automated ETL pipelines using KNIME to clean, blend, and aggregate
complex data from multiple sources into a centralized Snowflake data warehouse, saving ~10 hours of manual
work weekly.
● Designed and maintained interactive Power BI dashboards for stakeholders, providing real-time visibility into KPIs,
regional sales performance, and marketing ROI.
● Executed ad-hoc data queries and generated custom reports for cross-functional teams (Sales, Marketing, Supply
Chain), translating complex business questions into actionable insights.
● Implemented data validation checks within KNIME workflows to identify anomalies and inconsistencies in daily
SKU (Stock Keeping Unit) performance datasets, improving overall data accuracy by 15%.
Stack: SQL, KNIME, Power BI, SAP HANA, Snowflake, MS Excel
EDUCATION
Bachelor of Mathematical Sciences| Uzhhorod National University (Ukraine, Sep 2021 - Jun 2025)
LANGUAGES English B2 • Ukrainian Native
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The candidate's resume is posted at https://www.work.ua/resumes/20942566/