Senior Business Analyst (manufacturing domain)

As a Senior Business Analyst you will help define and deliver solutions that provide business outcomes and will serve as a facilitator between the Transform Data Science Team (TDST) and Business Stakeholders. This role will create functional and non-functional product backlog items and user stories for descriptive analytics predictive insights AI/ML and other digital solutions in the manufacturing industry. This position is ideal for a motivated professional who thrives in a complex fast-paced environment and is committed to continuous learning and growth in the domains of data science and advanced analytics.

Key Responsibilities

Agile Practice & Team 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

Requirement Elicitation & User Story Management

• Work with the team and Product Owner on defining the epics detailed scope
• 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

Stakeholder Engagement & Communication

• 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

Continuous Learning & Growth

• 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
• Collaborate with data scientists and engineers to deepen understanding of technical solutions and constraints

Qualifications :

Key requirements: 

• Bachelors 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 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 teams 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

Highly Desirable

• Certification in Business Analysis (e.g. CBAP CCBA)
• Understanding and experience with technologies such as Microsoft Azure AWS GCP Databricks and Microsoft Power BI
• Experience in manufacturing supply chain or industrial operations environments
• Experienced in working with teams in multiple time zones
• Previous experience supporting analytics AI/ML or data science initiatives
• Familiarity with data visualisation principles and tools
• Growth Mindset: Eager to learn new concepts particularly in data science and AI/ML and comfortable operating outside your comfort zone
• Adaptability: Thrives in ambiguity and can pivot quickly as business needs and priorities evolve
• Intellectual Curiosity: Asks thoughtful questions and seeks to understand the why behind requirements and solutions
• Resilience: Maintains composure and productivity during challenging situations and setbacks
• Collaborative Spirit: Works effectively across diverse teams and actively contributes to a positive team culture
• Proactive Communication: Takes initiative to share information raise concerns and seek clarification before issues escalate
• Detail-Oriented with Systems Thinking: Balances attention to detail with understanding of the broader business context and system interdependencies
• Self-Awareness: Recognises personal knowledge gaps and actively seeks resources and mentorship to address them

Additional Information :

For the right candidate this role provides:

• 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

Remote Work :

Yes

Employment Type :

Full-time