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Business & Data Analysis Chapter Lead
Cookie InformationBusiness & Data Analysis Chapter Lead driving high-quality business and data analysis for DSV. Leading a global chapter and collaborating across IT and business teams.
About the role
Key responsibilities & impact- Build and lead a high-performing global Business & Data Analysis chapter, ensuring alignment between business needs, data capabilities, and enterprise standards
- Own and drive standards, methods, and best practices for business and data analysis
- Lead and develop analysts, strengthening quality, consistency, and impact across teams
- Ensure high-quality requirements, mapping, and documentation across domains through formed frameworks
- Drive end-to-end clarity from strategy through to delivery execution
- Support complex analysis and stakeholder alignment across business and IT, while strengthening collaboration in order to unblock delivery when needed
- Ensure alignment and reuse of capabilities across platforms, reducing duplication
- Contribute hands-on when required to unblock teams and move delivery forward
- Validate and challenge requirements to support domain and enterprise data strategies
- Provide leadership and guidance on business transformation and process optimization efforts
- Build and grow a strong global analyst community through mentoring, capability development, and knowledge sharing
- Collaborate closely with architects, SMEs, and data analysts to ensure cohesive, end-to-end solutions, and provide guidance on business transformation and process optimisation
Requirements
What you’ll need- 7+ years of experience in business analysis and/or data/process mapping, ideally within logistics, supply chain, or enterprise data platforms
- Demonstrated experience leading a chapter, guild, or community of practice — including people leadership, setting standards, and ensuring learnings across teams
- A structured and pragmatic approach to business and data analysis, including requirement management, process and data mapping, and documentation aligned with enterprise standards and target operating models
- Proven ability to define and apply standards, methods, templates, and best practices to ensure consistent and high-quality analysis deliverables
- Strong capabilities in requirement management, including creating clarity, ensuring quality, and maintaining traceability from business need through to delivery
- Hands-on experience with process mapping and data mapping (e.g. source-to-target flows and data lineage)
- Experience enabling scalable and reusable solutions through structured analysis, documentation, and governance
- Ability to bridge business and technical stakeholders, facilitate workshops, and translate complexity into clear, actionable deliverables
- Experience working in product-oriented environments applying Agile frameworks (e.g. Scrum, Kanban, SAFe)
- Proven stakeholder management and communication skills in complex global organizations
- Experience driving cross-domain alignment, dependency management, enterprise-wide standardization, and collaboration across architecture, engineering, QA, and governance functions in enterprise delivery environments
- Experience working with distributed teams across multiple time zones
- Experience working with Data Products within an Event Driven Data Mesh is a benefit
Benefits
Comp & perks- Sharing the costs of sports activities
- Private medical care
- Sharing the costs of foreign language classes
- Sharing the costs of professional training & courses
- Life insurance
- Integration events
- Corporate gym
- Corporate sports team
- Coffee / tea
- Parking space for employees
- Extra social benefits
- Holiday funds
- Christmas gifts
- Employee referral program
- Charity initiatives
- Bicycle parking
- Modern and ergonomic office
- Yoga in the office
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
business analysisdata mappingprocess mappingrequirement managementdata lineageAgile frameworksScrumKanbanSAFeenterprise data platforms
Soft Skills
leadershipstakeholder managementcommunicationcollaborationmentoringproblem-solvingfacilitationorganizational skillspragmatic approachcommunity building