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Business & Data Analysis Chapter Lead

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Business & Data Analysis Chapter Lead driving high-quality business and data analysis for DSV. Leading a global chapter and collaborating across IT and business teams.

Posted 6/10/2026full-timeWarsaw • 🇵🇱 PolandSeniorWebsite

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

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Applicant 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