IT&Data Product Analyst SCP

Responsibilities

1. 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.

2. 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.

3. Product communication and stakeholder alignment

• Help the Product Owner communicate the product vision, business needs, priorities and expected benefits 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.

4. 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.

5. 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.

6. 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.

7. 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

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.

Technical and Professional 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.

Preferred Skills

• Supply Chain Planning – Logility

Educational Requirements

Bachelor of Engineering