Intelligent Automation Business Analyst

EPAM·Poland·Гибрид·2д. назад

We are seeking a Business Analyst to join our Intelligent Automation practice to contribute to and drive business transformation through automation solutions and AI-powered tools within innovative, fast-paced project environments.

Responsibilities

  • 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

Requirements

  • 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) / hands-on experience will be 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)

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