Nagarro

Senior Business Analyst, Manufacturing

Nagarro

full-time

Posted on:

Location Type: Remote

Location: Romania

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Job Level

Senior

About the role

  • Work in continuous delivery mode, analysing, testing, and delivering features iteratively
  • Consistently demonstrate Agile processes and principles for effective delivery
  • Consistently demonstrate Lean principles for efficient delivery
  • Actively participate in team learning sessions and knowledge-sharing activities to build expertise in data science concepts, AI/ML methodologies, and emerging technologies
  • Adapt quickly to changing priorities and requirements in a dynamic manufacturing environment
  • Responsible for creating, refining, and maintaining user stories and associated deliverables such as process flows and test cases to meet development and stakeholder needs
  • Provide guidance and facilitate conversations as needed on sizing stories, choosing stories for sprints, splitting stories, and determining technical story details
  • Work with the Product Owner and other BAs on the prioritisation of user stories in the product backlog
  • Work with the Product Owner, BAs, and team members on defining acceptance criteria sufficiently for testing
  • Work with the Product Owner to confirm that the delivered solution is in fulfillment of the stated requirements
  • Work with business stakeholders to test user stories
  • Guide the team to ensure a solid understanding of the ceremonies, expectations, deliverables, dependencies, and their role in the Agile development methodology
  • Provide coaching in the discipline for junior resources
  • Translate complex data science and AI/ML concepts into clear, actionable user stories that non-technical stakeholders can understand
  • Proactively seek clarification and ask insightful questions to bridge knowledge gaps between technical teams and business stakeholders
  • Build and maintain strong relationships with diverse stakeholders across manufacturing operations, IT, and business units
  • Facilitate workshops and collaborative sessions to gather requirements in ambiguous or evolving problem spaces
  • Communicate progress, risks, and impediments clearly and proactively to all levels of the organization
  • Navigate complex organizational dynamics and competing priorities with diplomacy and professionalism
  • Demonstrate intellectual curiosity and initiative in learning about data science, machine learning, and advanced analytics concepts
  • Seek feedback regularly and apply it to improve performance and deliverables
  • Stay current with industry trends in manufacturing analytics, AI/ML applications, and Agile best practices
  • Embrace challenges as learning opportunities and maintain a growth mindset in the face of complexity

Requirements

  • Bachelor's degree in Business Administration, Information Technology, or a related field
  • Exposure to or foundational knowledge of data science concepts, statistical analysis, or machine learning principles
  • Minimum of 4 years of experience as a Business Analyst working on information technology projects
  • Minimum of 2 years of experience as a Business Analyst in an agile Business Intelligence project-based environment
  • Strong knowledge of Agile frameworks and Agile tools; proficient with user stories, Scrum, Kanban, retrospectives, team planning, and other related Agile techniques
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent communication and interpersonal abilities; fluent in English (written and spoken)
  • Proficiency in requirement gathering techniques, process modeling and documentation
  • Experience interacting with cross-functional groups to support consensus outcome/decision
  • Familiarity with project management methodologies and software development lifecycle
  • Knowledge of relevant tools such as draw.io, JIRA, Confluence, etc.
  • Experience moderating team dynamics and leading through influence
  • Demonstrated experience facilitating meetings at multiple levels of an organization and an understanding of facilitation techniques
  • Experience in applying different techniques to optimize the team's effectiveness when developing in an agile framework (e.g., various burndown technologies, differing retrospective formats, sprint planning, handling bugs, etc.)
  • Experience with removing blockers for teams and acting as a champion for a cross-functional team or department
  • Demonstrated ability to learn and adapt quickly in technical environments
  • Track record of successfully working in complex, matrixed organizations
Benefits
  • Opportunity to work at the intersection of business and cutting-edge data science/AI technology
  • Exposure to advanced analytics and machine learning projects in a real-world manufacturing context
  • Mentorship and learning opportunities from experienced data scientists and technical leaders
  • Career growth path within a transformative, high-impact team
  • A dynamic environment where no two days are the same
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencemachine learningstatistical analysisAgile frameworksuser storiesScrumKanbanprocess modelingrequirement gatheringAgile techniques
Soft Skills
analytical skillsproblem-solvingcritical thinkingcommunicationinterpersonal skillsfacilitationteam dynamicsadaptabilityintellectual curiositygrowth mindset