Principal Data Business Analyst - Customer 360 & Graph Intelligence

Based in Gothenburg, Sweden, this hybrid office-based role seeks a Principal Data Business Analyst specializing in Customer 360 and Graph Intelligence. The successful candidate will play a pivotal role in developing an enterprise-wide platform that integrates customer, account, asset, product, contract, finance, service, and interaction data across various business domains. Acting as a crucial link between business stakeholders and technical teams, the analyst will identify and define high-value use cases, gather comprehensive business and data requirements, and translate these into actionable capabilities. This position demands a strong blend of business analysis expertise, enterprise data knowledge, stakeholder management, workshop facilitation, and precise requirements definition. Immediate joiners are preferred.

Key Responsibilities

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

Required Qualifications

- Over 8 years of relevant professional experience, including significant roles in Business Analysis, Data Business Analysis, Data Management, Data & Analytics, CRM, enterprise applications, or related fields.
- Proven track record at Senior, Lead, Principal, or equivalent levels on complex enterprise initiatives.
- Hands-on experience in gathering, analyzing, documenting, validating, and managing business, functional, and data requirements.
- Skilled in creating user stories, use cases, BRDs, functional specifications, process flows, workflows, and acceptance criteria.
- Strong facilitation skills for business workshops, discovery sessions, requirements workshops, and stakeholder interviews.
- Excellent stakeholder management capabilities across multiple business units, product teams, technical teams, and senior leadership.
- Experience with enterprise data platforms, analytics solutions, CRM/customer data solutions, master data, or enterprise applications.
- Deep understanding of customer and account data, including relationships between customers, accounts, products, services, contracts, and transactions.
- Ability to translate complex business challenges into clearly defined use cases and actionable technical requirements.
- Experience defining KPIs, success criteria, business outcomes, and measurable value for business and data initiatives.
- Proven involvement throughout the delivery lifecycle, including discovery, requirements gathering, design, development clarification, UAT, rollout, and stakeholder feedback.
- Strong analytical and problem-solving skills with the ability to comprehend complex business processes and data relationships.
- Experience in use-case prioritization, MVP definition, backlog management, and roadmap planning.
- Effective communication skills with both business and technical stakeholders, including product owners, architects, engineers, and data teams.
- Experience working in large, complex, cross-functional, or multinational enterprise environments.
- Knowledge or experience with graph databases, knowledge graphs, Graph Intelligence, or relationship-centric data models.

Preferred Qualifications and Additional Skills

- Experience with Customer 360 or Single Customer View solutions or initiatives.
- Familiarity with Key Account Management processes and enterprise customer relationship models.
- Knowledge of Customer Master Data, Master Data Management (MDM), account hierarchies, customer hierarchies, or entity relationships.
- Exposure to customer insights such as loyalty, Share of Wallet, cross-sell, retention, segmentation, risk, or next-best-action use cases.
- Understanding of data quality, data remediation, data governance, metadata, or data lineage concepts.
- Experience with cloud-based data and analytics platforms.
- Proficiency in tools like Azure DevOps, Confluence, Jira, or similar enterprise product delivery and collaboration tools.
- Familiarity with Agile/Scrum and enterprise product development frameworks.
- Experience working with global organizations involving multiple countries, brands, business units, or regional stakeholders.
- Ability to develop business cases, value hypotheses, benefits assessments, or investment proposals for data initiatives.
- Knowledge of CRM, Customer Data Platforms (CDPs), analytics, reporting, or enterprise data products.
- Practical experience leveraging AI and Generative AI tools to enhance workplace productivity, analysis, documentation, requirements management, or stakeholder engagement.
- Background in automotive, manufacturing, financial services, fleet management, mobility, or other complex B2B enterprise environments is advantageous.

Education

- A minimum of a Bachelor’s degree in Business Administration, Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related discipline is required.
- A Master’s degree, MBA, or relevant professional certifications in Business Analysis, Data Management, Product Management, Agile, or Data & Analytics are beneficial but not mandatory.