Role
Overview

The Business Analyst
serves as the critical bridge between the Operations domain and the Digital
Transformation & AI team. This role is responsible for understanding
complex operational workflows across Order Management, Procurement, Sourcing,
Manufacturing, Logistics, and Support functions, and translating them into
clear, actionable requirements that drive technology and AI-enabled solutions.

Key
Responsibilities

Requirements
& Process Analysis

•
Elicit,
document, and manage business requirements from stakeholders across Operations
functions

•
Conduct
current-state process mapping and gap analysis to identify automation and AI
opportunities

•
Develop
detailed functional specifications, user stories, and acceptance criteria

•
Analyse
operational data and metrics to support business case development

Stakeholder
Engagement

•
Facilitate
workshops and interviews with Operations SMEs, process owners, and end-users

•
Act as
the primary liaison between Operations teams and technical delivery teams

•
Manage
stakeholder expectations and communicate progress on transformation initiatives

Solution Design
& Validation

•
Collaborate
with Product Managers and Data Scientists to design solutions that meet
business needs

•
Define
and execute UAT plans, ensuring solutions align with documented requirements

•
Support
change management activities including training material development and user
adoption

Continuous
Improvement

•
Monitor
post-implementation performance and identify further optimisation opportunities

•
Maintain
a backlog of improvement opportunities across the Operations value chain

•
Contribute
to the development of BA standards, templates, and frameworks

Qualifications
& Experience

•
3–6 years
of Business Analysis experience, preferably in Operations or Supply Chain
environments

•
Proficiency
in process modelling tools (BPMN, Visio, Lucidchart)

•
Experience
with Agile delivery frameworks and tools (Jira, Confluence, Azure DevOps)

•
Strong
analytical skills with familiarity in SQL or BI tools (Power BI, Tableau) for
data-driven analysis

•
Excellent
written and verbal communication skills with ability to engage technical and
non-technical audiences

•
Knowledge
of ERP platforms (SAP, Oracle, D365) is highly advantageous

•
Exposure
to AI/ML projects or RPA implementations is a plus