Senior Business Analyst (AI & Automation)

H
HelpwareTechnology Services
Ukraine / Serbia / Poland / Romania / SpainFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English (minimum B2 required)
Experience
5+ years of experience as an IT Business Analyst
Required Skills
AgileMachine LearningSCRUMJiraConfluenceNLPLLM

Requirements

  • Strong proficiency in English (minimum B2 required)
  • 5+ years of experience as an IT Business Analyst within software development environments
  • Solid understanding of AI/ML concepts including supervised and unsupervised learning, NLP, prompt engineering, RAG, and LLM-based workflows
  • 1–2+ years of hands-on experience supporting AI, Data Science, Analytics, or Automation projects
  • Strong experience working with Agile/Scrum methodologies, SDLC processes, Jira, and Confluence
  • Experience with process modeling tools such as Miro or Visio
  • Experience writing business requirements, user stories, acceptance criteria, and technical documentation
  • Strong analytical thinking and problem-framing skills
  • Excellent stakeholder management and communication skills
  • Ability to critically evaluate AI-generated content and identify inconsistencies or hallucinations
  • Bachelor’s degree in Business Administration, Computer Science, Information Systems, Data Analytics, or a related field

Responsibilities

  • Identify and analyze business processes, inefficiencies, and automation opportunities that can be optimized using AI technologies such as Machine Learning, NLP, Computer Vision, RAG, and Large Language Models (LLMs)
  • Collaborate with stakeholders to gather, document, and refine business requirements for AI and automation initiatives
  • Create and maintain technical and functional documentation using AI-assisted frameworks and tools
  • Write detailed user stories, acceptance criteria, Jira tasks, and Confluence documentation aligned with Agile delivery practices
  • Participate in backlog refinements, sprint planning sessions, and cross-functional workshops
  • Translate business goals into clear technical requirements and measurable success metrics
  • Use Generative AI and copilot tools to accelerate the creation of BRDs, workflows, technical summaries, and internal knowledge bases
  • Validate AI-generated outputs, ensuring accuracy, consistency, and business relevance
  • Act as the communication bridge between business teams, developers, data scientists, compliance/legal stakeholders, and leadership
  • Support change management initiatives, user onboarding, training documentation, and AI adoption across teams
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