Principal Data Business Analyst - Customer 360 & Graph Intelligence

### **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. 5ECCBtMYmA