business analyst for data products

EPAM Systems’ Data Practice helps organizations across sectors use data more effectively, define success, and develop strategies that deliver business value.

• Lead client workshops, discovery sessions, and analytics workstreams
• Work with business and IT stakeholders to understand challenges, define KPIs and success metrics, and identify opportunities to create measurable value from data
• Assess clients’ current data capabilities and processes, then develop practical recommendations and roadmaps aligned with their business goals
• Evaluate and recommend approaches for data products and projects, including AI and cloud technologies where appropriate for the use case, existing environment, and expected value
• Shape data products by defining requirements, user stories, and priorities, and help teams make informed trade-offs throughout delivery
• Translate complex analysis into clear insights and actionable recommendations using data storytelling and visualization to influence stakeholders at different levels
• Define how business value, ROI, and product adoption will be measured, and help clients track outcomes after delivery
• Work with cross-functional teams to keep business objectives, proposed solutions, and deliverables aligned throughout an engagement
• Contribute to business development through case studies, thought leadership, and identification of new client opportunities

• At least 5 years of experience in data analytics, business intelligence, or data-driven project delivery, including at least 3 years in a client-facing consulting or similar role
• Experience leading client workshops, discovery sessions, and analytics workstreams with business and IT stakeholders
• Proven ability to shape data products, including gathering requirements, defining user stories, prioritizing work, and supporting adoption
• Ability to assess business needs, compare potential solutions, and recommend approaches based on expected value, feasibility, and the client’s existing environment
• Practical understanding of AI technologies, their capabilities and limitations, and when they are appropriate for data products or projects
• Practical understanding of cloud technologies and their role in data products and projects
• Working knowledge of data management, data governance, and data architecture concepts
• Strong data storytelling and presentation skills, including using visualizations to communicate findings and recommendations to audiences at different seniority levels
• Understanding of industry-specific business processes and metrics gained through experience in at least one sector
• Familiarity with Agile, Waterfall, and hybrid project delivery approaches, and ability to work effectively within the approach best suited to the engagement
• Strong stakeholder management and communication skills in English
• Будет плюсом: contributing to AI-enabled analytics projects, including predictive modeling or AI use-case evaluation; hands-on delivery of data products or projects using cloud-based data platforms; customer journey analytics or CRM data; data maturity assessments and using findings to shape data strategy or transformation roadmaps; specialist knowledge such as financial modeling or Oil & Gas analytics; mentoring colleagues or managing a team; relevant certifications in data analytics, cloud technologies, or project management

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