Business & Data Analysis Chapter Lead (M/F/D)

DSV is a global leader in the TSL industry, headquartered in Denmark, employing over 160,000 people worldwide and operating in 90 countries. In Poland, DSV operates through divisions including DSV Air&Sea, DSV Road, DSV Contract Logistics, DSV Services, and Global Business Support (DSV GBS). DSV GBS in Warsaw is rapidly growing, employing over 1500 people and providing global services in areas such as Finance & Accounting, Claims, Customs, IT, Process Automation, Customer Reporting & Data Quality, HR & Administration, and Back Office.

• 7+ years of experience in business analysis and/or data/process mapping, ideally within logistics, supply chain, or enterprise data platforms
• Experience leading a chapter, guild, or community of practice including people leadership and setting standards
• Structured and pragmatic approach to business and data analysis, including requirement management, process and data mapping, and documentation aligned with enterprise standards
• Proven ability to define and apply standards, methods, templates, and best practices for consistent and high-quality analysis deliverables
• Strong capabilities in requirement management, including clarity, quality, and traceability from business need 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 deliverables
• Experience working in product-oriented environments applying Agile frameworks (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
• Experience working with distributed teams across multiple time zones
• Experience with Data Products within an Event Driven Data Mesh is a benefit

• 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 to unblock delivery
• 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