Identify and document business needs through interviews, workshops, surveys, and research as well as ensure we maintain the vision and strategy of the domain, the data mesh and DSV
Act as a liaison between stakeholders (business users, management, and technical teams) to ensure alignment
Ensure traceability from business needs to delivered solutions
Contribute hands-on when required to unblock teams and move delivery forward
Audit of the how the platforms’ defined capabilities are aligned within and across the various platforms, ensuring that we reduce duplication of capability implementation in multiple products/platforms
Analyse current business processes and identifying areas for improvement or automation
Create clear and detailed documentation such as business requirement documentation, functional specifications, use cases, mapping specifications and user stories
Cross-platform collaboration with architects, developers, testers and SMEs to ensure the designed solution delivers the expected value and lives up to the business needs
Ability to get the information from consumers and producers on data formats, triggering mechanisms, data domain coverage, timing/consistency SLAs etc
Understand and analyse different data structures, usage and flows and document in agreed format.

2-5 years of experience as Business Analyst, Lead Analyst, Product Analyst, or similar senior role
Strong experience working in agile delivery environments (Scrum, Kanban, or Spotify model)
Proven ability to engage business stakeholders, capture requirements, and translate them into actionable specifications
Solid understanding of business processes and how they translate into technical solutions
Experience working closely with development teams, architects, and product owners
Strong documentation and communication skills in English
Ability to manage competing priorities in a complex, fast-moving environment
Experience working in large, global, and matrix organisations
Strong stakeholder management skills across business and technical communities
Familiarity with business intelligence, data analytics, and digital transformation initiatives
Exposure to the logistics industry is beneficial
Proficiency in tools such as JIRA, Confluence, SQL, Databricks, etc.
Knowledge of SQL, Python, APIs, and basic programming languages is a plus
Familiarity with different data formats (XML, JSON etc.)
Knowledge of TMS systems and data attribute analysis and mapping is an advantage.

Business Analyst – Global IT, Enterprise Business Development

Key skills