Data Analyst

EPAM steers data-driven digital transformation across international projects in oil and gas, finance, retail and distribution, e-commerce, life sciences, healthcare, and other industries.

• Participate in designing, developing, and maintaining dashboards, interactive charts, and reports according to visualization best practices;
• Collaborate with the development team on end-to-end data migration and modernization projects, including ETL, data extraction, transformation, and loading;
• Lead meetings and workshops with clients and stakeholders to define and prioritize business needs;
• Translate requirements into actionable insights and support collaboration with the delivery team throughout the project lifecycle;
• Perform data discovery, assessment, and profiling using SQL queries;
• Prepare source-to-target mappings, data models, data flows, and related requirements documentation;
• Define and organize backlogs with epics, features, and stories;
• Participate in and drive Agile ceremonies, including Sprint Reviews, Daily Stand-Ups, Planning, Refinements, and Retrospectives;
• Conduct User Acceptance Testing with customer stakeholders;
• Prepare post-development and post-production materials;
• Monitor and ensure the quality and reliability of deliverables independently and with the development team and customer stakeholders.

• 5+ Years of experience in data-related projects, including data migration, data transformation, data governance, BI, and AI;
• 3+ Years of experience handling BI, DWH, data, and analytical project requirements, including gathering, documenting, presenting, estimating, and prioritizing;
• Proficiency in end-to-end data and analytics project delivery using Agile and Waterfall methodologies;
• Experience working with large datasets and performing data profiling using SQL queries;
• Strong understanding of DWH fundamentals, data modeling, and data quality;
• Proficiency in preparing source-to-target mappings for data ingestion, curation, and related processes;
• Experience with BI tools such as Power BI and Tableau for data transformation, modeling, and visualization;
• Excellent written and verbal communication skills in the customer's communication language;
• Ability to produce high-quality documentation and reports;
• Self-motivated, able to work with minimal supervision and lead client interactions;
• English proficiency at B2 level or higher;
• Nice to have: experience with data on Azure, AWS, and GCP; ability to create prototypes and mock-ups; familiarity with the Data Governance framework; experience collaborating with data scientists and defining requirements for AI-focused features; familiarity with AI tools for BI analysis, information elicitation, documentation, agile workflows, and data analysis; industry knowledge in oil and gas, finance, insurance, supply chain, or marketing; ability to act as a Data Product Owner in analytical projects.

• No conditions specified