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Work experience

Data analyst

from 11.2025 to now (5 months)
VPZ, Kyiv (Retail)

Collected, cleaned, and analyzed sales, inventory, and product performance data across retail stores and online channels.
Monitored KPIs, including sales trends, product margins, stock levels, and customer behavior, to inform merchandising and pricing decisions.
Built dashboards and visual reports using Power BI, enabling management to track sales performance, product popularity, and inventory turnover.
Supported marketing campaigns with data-driven insights, including promotion effectiveness and customer segmentation.
Automated sales reporting processes with SQL and Excel, reducing reporting time by 12%.

Business analyst

from 12.2022 to 10.2025 (2 years 11 months)
EPAM, Remote (IT)

Decomposed epics into prioritized backlog items and managed requirements allocation across development teams.
Documented business processes and procedures, identifying opportunities for optimization and operational improvements.
Produced process flow diagrams, workflow diagrams, activity diagrams, sequence diagrams, and business process models.
Defined and documented non-functional requirements, external interfaces, and system constraints.
Collaborated closely with product owners, delivery managers, SMEs, and technical teams to ensure shared understanding of the solution.
Facilitated workshops, discovery sessions, and stakeholder meetings to clarify business needs and solution approaches.
Participated in pre-sales and discovery activities, supporting solution design and initial scope definition.
Conducted market and competitor analysis to support business decisions and product direction.
Maintained and prioritized product backlog, supporting sprint planning, refinement, and review/demo sessions.
Worked with multiple integration teams and content source systems to support API-based data aggregation solutions.

Business analyst

from 08.2021 to 12.2022 (1 year 5 months)
Reiffeisen Bank Ukraine, Kyiv (IT)

Analyzed transactional, customer, and financial datasets to support product, risk, and operational decision-making. Elicited and documented business requirements for reporting and analytical solutions, translating stakeholder needs into SQL queries, data models, and dashboards.
Collaborated with product and risk teams to define KPIs, business rules, and reporting logic.
Developed Power BI and Tableau dashboards enabling monitoring of transaction volumes, customer activity, and risk indicators.
Automated data extraction and transformation processes using SQL and Python, improving reporting accuracy and reducing manual effort.
Supported fraud detection and credit risk initiatives by analyzing behavioral patterns and validating risk scoring logic in collaboration with business and technical teams.

Education

National University of Environmental and Life Science of Ukraine

Economics, Kyiv
Higher, from 2011 to 2016 (5 years)

Additional education and certificates

Udemy. Data Science Bootcamp

2022-2023

Coursera. Data Science Methodology

2023

Knowledge and skills

• SQL
• Postman
• Git
• MS Power BI
• MS Excel
• Python
• Tableau
• Pandas
• NumPy
• Data visualization
• Matplotlib
• Seaborn
• Statistica
• AI integration
• Jira
• Agile

Language proficiencies

• English — advanced
• Ukrainian — fluent