Business Analyst

EPAM is a global provider of digital engineering, cloud, and AI-enabled transformation services, as well as a leading business and experience consulting partner. The company specializes in complex digital product development and data-driven solutions for international clients across various industries, including finance, retail, healthcare, and telecommunications.

• Lead discovery meetings, workshops, and elicitation sessions with international clients;
• Translate high-level business problems into precise, actionable technical requirements and prioritize backlog items;
• Collaborate with development teams to design, model, and maintain advanced interactive dashboards, reports, and data visualizations;
• Perform hands-on data discovery, data assessment, and data profiling using advanced SQL queries;
• Prepare detailed source-to-target mapping, logical/physical data models, data flow diagrams, and business requirements documentation;
• Partner with engineering teams on end-to-end data migration and modernization projects;
• Drive and participate in key Agile ceremonies and act as the Data Product Owner if needed;
• Define testing strategies for data products and lead User Acceptance Testing (UAT) sessions;
• Mentor junior analysts and developers and contribute to the maturity of internal Business Intelligence practices;

• 5+ Years of experience in data-related domains such as BI, DWH, Data Migration, Data Governance, or Analytics projects;
• 3+ Years of expertise in gathering, documenting, presenting, estimating, and prioritizing requirements for complex BI, DWH, and analytical solutions;
• Outstanding proficiency in SQL for analyzing, querying, and profiling massive, complex datasets;
• Strong fundamental understanding of DWH architectures, dimensional modeling, and data quality assessment;
• Proven hands-on experience with Power BI, Tableau, or similar visual analytics platforms;
• Strong fluency in end-to-end project delivery using both Agile and Waterfall frameworks;
• Exceptional verbal and written communication skills with the ability to lead presentations;
• Fluent English proficiency (B2+/C1 level or higher);
• Nice to have: Solid knowledge of Python (Pandas, NumPy), familiarity with modern cloud platforms (AWS, Azure, GCP, Snowflake), experience defining requirements for AI/ML-focused features, familiarity with data governance frameworks, deep domain experience in banking/finance, oil & gas, or e-commerce/retail.

• No conditions specified