Intelligent Automation Business Analyst

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 2+ years of practical experience in business analysis, possessing a solid grasp of core business analysis frameworks, principles, tools, and techniques
• Solid understanding of the SDLC and how business analysis integrates into software development and deployment phases
• Understanding of business process automation and AI concepts
• UiPath expertise: foundational certifications (e.g., Automation Business Analyst Associate training) or hands-on experience considered a major advantage
• Strong analytical and critical thinking skills, with a structured approach to problem-solving
• Confident interpersonal and communication skills
• A highly proactive attitude, coachability, and a strong desire to learn emerging technologies
• Upper-Intermediate English language proficiency (B2 minimum), with strong written and verbal communication skills for direct client interaction

Nice to have:

• Hands-on exposure to AI tools and techniques, such as prompt engineering, LLMs, or natural language processing (NLP)

• Elicit, analyze, and document business requirements, current-state processes, and client pain points
• Create clear, high-quality functional specifications, user stories, and process maps to support development
• Actively participate in and facilitate client workshops, presentations, and requirements sessions
• Support the project team across all phases of the SDLC, translating business needs into clear, actionable technical requirements
• Facilitate UAT with clients and collaborate with developers to ensure the final solution meets business needs
• Build and maintain strong, credible relationships with project stakeholders
• Leverage AI tools and prompt engineering techniques to automate project tasks and improve delivery efficiency

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