Senior Business Analyst
Kraków, Lesser Poland Voivodeship, Polska
EPAM
Wynagrodzenie do ustalenia
Wymagania
4+ years of experience in Business Analysis, with demonstrated success in diverse projects
1+ years of hands-on experience working with AI tools or AI-driven solutions
Background in requirements elicitation and stakeholder facilitation
Proficiency in Agile (Scrum, Kanban) or Waterfall methodologies, including familiarity with Scrum Master responsibilities
Competency in diagramming techniques such as UML and BPMN
Knowledge of UX/UI principles, estimation methods, and testing practices
Showcase of practical use of LLMs, prompt engineering, and understanding AI/ML fundamentals
Understanding of data flows, APIs (REST, JSON), and ability to articulate key AI concepts such as Agentic AI and AI feedback loops
Proficiency in requirement management tools like Jira, Confluence, and Miro
Familiarity with data analysis and validation methods
Strong analytical thinking combined with structured problem-solving skills
Capability to influence stakeholders in complex environments and drive clear communication in technical and business contexts
Flexibility to work independently and in hybrid or office-based setups
English language proficiency at B2+ level
Zakres obowiązków
Define and frame business problems, clarify ambiguity, and establish measurable outcomes
Challenge assumptions and uncover implicit needs
Translate needs into clear, testable requirements (functional and non-functional)
Drive stakeholder alignment and influence decisions
Leverage AI tools and prompt-based workflows to support analysis and documentation
Create specifications such as user stories, use cases, and acceptance criteria
Perform data analysis to support decisions and validate assumptions
Collaborate with engineering teams, subject matter experts, and stakeholders
Comprehend system behaviour, data flows, and architecture
Manage scope, risks, and dependencies to ensure project success
Support testing and user acceptance testing (UAT) to guarantee solution quality
Maintain ownership of domains while adapting to evolving project needs
Seniority
Senior
Mile widziane
Background in Engineering or Computer Science
Experience with AI integrations or solutions via APIs
Proficiency in SQL and data analysis tools (e.g., Python, Databricks)
Understanding or usage of data visualization tools like Power BI or Tableau
Relevant certifications such as BA, Scrum, or Product Ownership
Ability to work effectively under pressure in scope-controlled environments
Showcase of discovery or pre-sales expertise
Opis
We are seeking a Senior Business Analyst who thrives in an open and collaborative environment, leveraging their expertise to shape impactful solutions and support delivery. As part of our team, you will work on meaningful projects that offer growth opportunities in both analytical and technical domains, alongside experienced professionals who share a commitment to delivering results. Responsibilities Define and frame business problems, clarify ambiguity, and establish measurable outcomes Challenge assumptions and uncover implicit needs Translate needs into clear, testable requirements (functional and non-functional) Drive stakeholder alignment and influence decisions Leverage AI tools and prompt-based workflows to support analysis and documentation Create specifications such as user stories, use cases, and acceptance criteria Perform data analysis to support decisions and validate assumptions Collaborate with engineering teams, subject matter experts, and stakeholders Comprehend system behaviour, data flows, and architecture Manage scope, risks, and dependencies to ensure project success Support testing and user acceptance testing (UAT) to guarantee solution quality Maintain ownership of domains while adapting to evolving project needs Requirements 4+ years of experience in Business Analysis, with demonstrated success in diverse projects 1+ years of hands-on experience working with AI tools or AI-driven solutions Background in requirements elicitation and stakeholder facilitation Proficiency in Agile (Scrum, Kanban) or Waterfall methodologies, including familiarity with Scrum Master responsibilities Competency in diagramming techniques such as UML and BPMN Knowledge of UX/UI principles, estimation methods, and testing practices Showcase of practical use of LLMs, prompt engineering, and understanding AI/ML fundamentals Understanding of data flows, APIs (REST, JSON), and ability to articulate key AI concepts such as Agentic AI and AI feedback loops Proficiency in requirement management tools like Jira, Confluence, and Miro Familiarity with data analysis and validation methods Strong analytical thinking combined with structured problem-solving skills Capability to influence stakeholders in complex environments and drive clear communication in technical and business contexts Flexibility to work independently and in hybrid or office-based setups English language proficiency at B2+ level Nice to have Background in Engineering or Computer Science Experience with AI integrations or solutions via APIs Proficiency in SQL and data analysis tools (e.g., Python, Databricks) Understanding or usage of data visualization tools like Power BI or Tableau Relevant certifications such as BA, Scrum, or Product Ownership Ability to work effectively under pressure in scope-controlled environments Showcase of discovery or pre-sales expertise