Principal Data Business Analyst - Customer 360 & Graph Intelligence in Stuttgart

Location :Gothenburg, Sweden

Work Model:Hybrid (Office Based)

Experience:8+ years

Education :Bachelor's minimum

Joining :Immediate joiners preferred

We are looking for a Principal Data Business Analyst - Customer 360 & Graph Intelligence to support the development of an enterprise-wide platform connecting customer, account, asset, product, contract, finance, service, and interaction data across multiple business areas.

The successful candidate will act as a key bridge between business stakeholders and technical teams, identifying and defining high-value Customer 360 and Graph Intelligence use cases, gathering business and data requirements, and translating them into actionable capabilities.

The role requires a strong combination of business analysis, enterprise data understanding, stakeholder management, workshop facilitation, and requirements definition.

Responsibilities

• 1. Engage with stakeholders across multiple business areas, brands, regions, and functions to identify Customer 360, Key Account, Cross-Business, and Graph Intelligence use cases.
• 2. Define and document user personas, business processes, workflows, user journeys, KPIs, success criteria, and expected business outcomes.
• 3. Create and maintain high-quality business analysis artifacts, including Business Requirements Documents (BRDs), functional specifications, process flows, use cases, and user stories.
• 4. Analyze relationships between customer, account, organizational, fleet/asset, product, contract, finance, service, parts, and interaction data.
• 5. Support the definition of Customer 360 and Graph Intelligence capabilities for Key Account Management, customer loyalty, Share of Wallet, cross-sell, customer retention, and risk insights.
• 6. Manage stakeholder feedback and clarification during solution design, development, UAT, rollout, and adoption.
• 7. Assess and prioritize potential use cases based on business value, data availability, technical feasibility, adoption potential, and strategic alignment.
• 8. Support product roadmap planning, MVP definition, backlog refinement, and prioritization activities.
• 9. Assist in developing business cases, value hypotheses, and measurable outcomes for future data and analytics investments.
• 10. Support continuous improvement of Customer 360 and Graph Intelligence capabilities and contribute to building reusable enterprise-wide data products.
  

Must-Have Skills

• 1. 8+ years of relevant professional experience, including significant experience in Business Analysis, Data Business Analysis, Data Management, Data & Analytics, CRM, enterprise applications, or related areas.
• 2. Proven experience working at Senior, Lead, Principal, or equivalent level on complex enterprise initiatives.
• 3. Strong hands-on experience gathering, analyzing, documenting, validating, and managing business, functional, and data requirements.
• 4. Hands-on experience creating user stories, use cases, Business Requirements Documents, functional specifications, process flows, workflows, and acceptance criteria.
• 5. Strong experience facilitating business workshops, discovery sessions, requirements workshops, and stakeholder interviews.
• 6. Strong stakeholder management experience with the ability to work across multiple business units, product teams, technical teams, and senior stakeholders.
• 7. Experience working with enterprise data platforms, analytics solutions, CRM/customer data solutions, master data, or enterprise applications.
• 8. Strong understanding of customer and account data, including relationships between customers, accounts, products, services, contracts, transactions, or other enterprise entities.
• 9. Ability to translate complex business problems into clearly defined business use cases and actionable requirements for technical teams.
• 10. Experience defining KPIs, success criteria, business outcomes, and measurable value for business/data initiatives.
• 11. Experience supporting the complete delivery lifecycle, including discovery, requirements, design, development clarification, UAT, rollout, and stakeholder feedback.
• 12. Strong analytical and problem-solving skills with the ability to understand complex business processes and data relationships.
• 13. Experience supporting use-case prioritization, MVP definition, backlog management, or roadmap planning.
• 14. Ability to communicate effectively with both business and technical stakeholders, including product owners, architects, engineers, and data teams.
• 15. Experience working in large, complex, cross-functional or multinational enterprise environments.
• 16. Experience with graph databases, knowledge graphs, Graph Intelligence, or relationship-centric data models.
  

Good-to-Have Skills

• 1. Experience with Customer 360 / Single Customer View solutions or initiatives.
• 2. Knowledge of Key Account Management processes and enterprise customer relationship models.
• 3. Experience with Customer Master Data, Master Data Management (MDM), account hierarchies, customer hierarchies, or entity relationships.
• 4. Experience with customer insights such as customer loyalty, Share of Wallet, cross-sell, retention, segmentation, risk, or next-best-action use cases.
• 5. Experience with data quality, data remediation, data governance, metadata, or data lineage concepts.
• 6. Familiarity with cloud-based data and analytics platforms.
• 7. Experience using Azure DevOps, Confluence, Jira, or similar enterprise product delivery and collaboration tools.
• 8. Exposure to Agile/Scrum and enterprise product development frameworks.
• 9. Experience working with global organizations involving multiple countries, brands, business units, or regional stakeholders.
• 10. Experience developing business cases, value hypotheses, benefits assessments, or investment proposals for data initiatives.
• 11. Familiarity with CRM, Customer Data Platforms (CDPs), analytics, reporting, or enterprise data products.
• 12. Practical adoption of AI and Generative AI tools to improve workplace productivity, analysis, documentation, requirements management, or stakeholder engagement.
• 13. Experience in automotive, manufacturing, financial services, fleet management, mobility, or another complex B2B enterprise environment would be an advantage.
  

Education

• 1. Minimum Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related field.
• 2. A Master's degree, MBA, or relevant professional certifications in Business Analysis, Data Management, Product Management, Agile, or Data & Analytics are advantageous but not mandatory.

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