data analyst in data-driven transformation

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.

• Lead and oversee the design, development, and maintenance of dashboards, interactive charts, and reports, establishing visualization standards and best practices across projects;
• Drive end-to-end data migration and modernization initiatives with the development team, including oversight of ETL processes, data extraction, transformation, and loading;
• Facilitate and lead meetings, workshops, and discovery sessions with clients and senior stakeholders to define, prioritize, and align business needs with strategic objectives;
• Translate complex business requirements into actionable insights and strategic recommendations, collaborating with the delivery team throughout the project lifecycle;
• Oversee data discovery, data assessment, and data profiling activities using advanced SQL queries and guiding team members in execution;
• Define and maintain source-to-target mappings, data models, data flows, and related requirements documentation, ensuring consistency and quality standards;
• Own the definition, organization, and prioritization of backlogs with epics, features, and stories, aligning them with project goals and stakeholder expectations;
• Drive and facilitate Agile ceremonies, including Sprint Reviews, Daily Stand-Ups, Planning, Refinements, and Retrospectives;
• Lead User Acceptance Testing efforts with customer stakeholders, coordinating feedback cycles and sign-off processes;
• Establish standards for high-quality post-development and post-production materials and ensure consistent delivery;
• Monitor and ensure the quality and reliability of team deliverables, providing guidance, feedback, and mentorship to junior and mid-level analysts;
• Contribute to pre-sales activities, including effort estimation, proposal preparation, and client presentations;
• Identify risks, dependencies, and bottlenecks proactively, escalating and resolving issues to ensure smooth project delivery.

• 7+ Years of experience in data-related projects, including data migration, data transformation, data governance, BI, and AI;
• 5+ Years of experience handling BI, DWH, data, and analytical project requirements, including gathering, documenting, presenting, estimating, and prioritizing;
• 2+ Years of experience in a lead or senior advisory role, mentoring analysts and owning delivery quality;
• Proven end-to-end data and analytics project delivery experience using Agile and Waterfall methodologies, including managing multiple workstreams simultaneously;
• Extensive experience working with large datasets and performing advanced data profiling using SQL queries;
• Understanding of DWH fundamentals, data modeling, data quality, and data architecture principles;
• Proficiency in preparing and reviewing source-to-target mappings for data ingestion, curation, and related processes;
• Hands-on experience with Power BI and Tableau for data transformation, modeling, and visualization, including setting standards and guiding others;
• Excellent written and verbal communication skills with the ability to engage and influence senior stakeholders and C-level executives;
• Ability to produce and enforce high-quality documentation, reports, and presentation standards;
• Strong leadership mindset; self-motivated, proactive, able to lead client interactions, resolve conflicts, and drive decisions with minimal supervision;
• English proficiency at B2+ level or higher;
• Nice to have: Familiarity with data on Azure, AWS, and GCP; ability to create prototypes, mock-ups, and proof-of-concept solutions; familiarity with Data Governance frameworks and their practical implementation; experience collaborating with data scientists and defining requirements for AI/ML-focused features; familiarity with AI tools for BI analysis, information elicitation, documentation, agile workflows, and data analysis; background in oil and gas, finance, insurance, supply chain, or marketing; experience acting as a Data Product Owner in analytical projects; experience in pre-sales, effort estimation, and shaping project proposals; CBAP, CCBA, PMI-PBA, Microsoft/Tableau certifications.

• No conditions specified