Senior Business Analyst (AI & Automation)

New
H
HelpwareIT Services
Україна / Румунія / Болгарія / Польща / ІспаніяFull-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
AgileBusiness AnalysisMachine LearningJiraConfluenceNLPPrompt EngineeringLLMData analytics

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 and SDLC processes.
  • Proficiency with Jira, Confluence, and 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 with focus on business outcomes.
  • Excellent stakeholder management and communication skills.
  • Ability to critically evaluate AI-generated content and identify inconsistencies.
  • 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 optimized by Machine Learning, NLP, Computer Vision, RAG, and 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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