- The IT Data Product Analyst Supply Chain understands end user and business needs and supports the Product Owner in turning the product vision into practical prioritised and measurable product outcomes
- The role connects Supply Chain stakeholders with product and delivery teams by gathering and structuring requirements analysing data refining acceptance criteria supporting risk management and monitoring product performance
- It helps maximise value creation user adoption product effectiveness and continuous improvement across the Supply Chain product landscape
- Clear business requirements evidence based prioritisation shared understanding between stakeholders and delivery teams and continuous improvement of Supply Chain products based on user feedback and performance insights
Key Responsibilities:
- End user understanding and business analysis
- Build a strong understanding of Supply Chain processes user journeys pain points and expected business outcomes
- Engage end users and business stakeholders through interviews workshops observations and feedback sessions
- Requirement gathering refinement and prioritisation
- Collaborate with the Product Owner to gather structure validate and prioritise requirements
- Create and maintain product requirements user stories functional specifications and supporting documentation
- Support backlog refinement by clarifying scope assumptions dependencies constraints and expected outcomes
- Product communication and stakeholder alignment
- Help the Product Owner communicate the product vision business needs priorities and expected advantages in language understood by all stakeholders
- Act as a bridge between Supply Chain users product management solution architects data teams developers testers and delivery partners
- Prepare clear materials for decision making refinement sessions governance forums demonstrations and user engagement
- Data analysis and insight generation
- Collect validate and analyse relevant product process and user data to support product decisions
- Identify patterns trends correlations exceptions and root causes that can inform product strategy and prioritisation
- Delivery testing and release readiness
- Support delivery teams throughout solution design build and configuration by clarifying requirements and expected outcomes
- Collaborate with testing and business teams to define test scenarios and support functional validation and user acceptance testing
- Validate delivered functionality against agreed requirements and acceptance criteria
- Risk dependency and change management
- Support the Product Owner in identifying assessing and mitigating risks that may affect product success
- Identify dependencies across Supply Chain processes data integrations systems and delivery teams
- Maintain visibility of assumptions constraints issues and decisions affecting requirements or product outcomes
- Product performance and continuous improvement
- Analyse product effectiveness usage adoption user satisfaction and business outcomes
- Identify improvement opportunities and recommend actions to enhance product value usability effectiveness and profitability
Technical Requirements:
- Must have
- Strong business analysis and requirements engineering skills including user stories and acceptance criteria
- Good understanding of end to end Supply Chain processes and the role of digital products in supporting them
- Ability to analyse data identify patterns and translate findings into actionable business insights
- Experience with backlog refinement prioritisation functional validation and user acceptance testing
- Ability to map processes clarify business rules and structure complex information
- Excellent stakeholder communication workshop facilitation and relationship management skills
- Ability to communicate effectively with business product architecture data and technical delivery teams
- Strong problem solving critical thinking and attention to detail capabilities
- Collaborative user centric value oriented and continuous improvement mindset
- Ability to work effectively in a complex multi team and multi vendor environment
- Good to have
- Experience with Agile product management and delivery practices
- Knowledge of Supply Chain Planning Logistics Manufacturing Customer Service Quality or Procurement processes
- Experience with analytics reporting or visualisation tools and common data concepts
- Familiarity with enterprise platforms APIs integrations and master data concepts
- Experience supporting product adoption change management or business readiness
- Bachelor s or Master s degree in Supply Chain Business IT Data Engineering or a related field
- 5 years in product analysis business analysis Supply Chain digital solutions or enterprise delivery
- Proven experience translating stakeholder needs into clear requirements and supporting product delivery in a complex organisation
- Relevant business analysis Agile product management data analytics or Supply Chain certification is an advantage
Additional Responsibilities:
- Key working relationships
- Product Owner and Product Manager
- Supply Chain business stakeholders process owners key users and end users
- Solution Architects Data and Integration teams developers configurators and testers
- Enterprise Architecture platform security and infrastructure teams
- Delivery leads change teams and external implementation partners