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Work experience

Data analyst

from 02.2026 to now (7 months)
VPZ, Kyiv (IT)

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%.

Data analyst

from 10.2023 to 01.2026 (2 years 4 months)
EPAM, Kyiv (IT)

Analyzed large datasets from SaaS platforms in retail and e-commerce domains to identify
trends, customer behavior, and business opportunities
Designed and maintained interactive dashboards (e.g., Tableau / Power BI) to track KPIs such
as conversion rate, retention, LTV, and churn
Wrote complex SQL queries to extract, transform, and validate data from relational databases
(PostgreSQL, MySQL)
Performed cohort analysis and funnel analysis to optimize user journeys and improve product
performance
Collaborated with product managers, marketing, and engineering teams to define metrics and
support data-driven decision-making
Built and automated ETL pipelines for collecting and processing data from multiple sources
(APIs, databases, third-party tools)
Conducted A/B testing analysis to evaluate feature releases and marketing campaigns
Identified data inconsistencies and implemented data quality checks to ensure accuracy and
reliability
Delivered actionable insights that improved customer acquisition, engagement, and revenue
Documented data models, dashboards, and processes for internal stakeholders

Business analyst

from 08.2022 to 09.2023 (1 year 2 months)
EPAM, Kyiv (IT)

Elicited, analyzed, and documented business requirements for reporting and analytics solutions across
SaaS, retail, and e-commerce domains
Acted as a bridge between business stakeholders and technical teams, translating needs into
functional specifications, data models, and reporting logic
Collaborated with product, risk, and operations teams to define KPIs, business rules, and success
metrics
Led requirements gathering sessions, workshops, and stakeholder interviews to align on data-driven
solutions
Defined and validated reporting requirements for dashboards in Power BI and Tableau, ensuring
alignment with business objectives
Supported development teams by clarifying requirements, reviewing deliverables, and participating in
UAT (User Acceptance Testing)
Identified gaps and inconsistencies in data and business processes, proposing improvements to
enhance data quality and reporting accurac

Business analyst

from 08.2021 to 08.2022 (1 year)
Raiffeisen Bank Ukraine, Kyiv (Finance, banking, and insurance)

Elicited, analyzed, and documented business and functional requirements for fraud detection and transaction monitoring systems
Collaborated with risk, compliance, product, and operations teams to define fraud rules, risk indicators, and transaction monitoring logic
Acted as a liaison between business stakeholders and technical teams, translating requirements into functional specifications, data mappings, and reporting logic
Facilitated workshops and stakeholder sessions to align on fraud prevention strategies, KPIs, and operational processes
Defined requirements and supported development of dashboards and reports (Power BI, Tableau) for monitoring transaction volumes, customer activity, and fraud/risk metrics
Participated in User Acceptance Testing (UAT) by validating fraud scenarios, transaction flows, and system outputs against business requirements
Identified gaps in fraud detection and transaction processes, proposing improvements to enhance risk mitigation and operational efficiency
Supported implementation and optimization of fraud detection and credit risk models, including validation of scoring logic and business rules
Collaborated with data teams to ensure data accuracy, consistency, and traceability across reporting and monitoring systems
Contributed to automation of reporting and data workflows, reducing manual effort and improving timeliness of fraud insights

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