Principal Data Business Analyst - Customer 360 & Graph Intelligence

Located in Gothenburg, Sweden, this role offers a hybrid, office-based work model and is ideal for candidates with over eight years of experience and at least a Bachelor's degree. Immediate joiners are preferred. The Principal Data Business Analyst - Customer 360 & Graph Intelligence 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 areas. The successful candidate will serve as a critical link between business stakeholders and technical teams, identifying high-value use cases related to Customer 360 and Graph Intelligence, gathering detailed business and data requirements, and translating these into actionable solutions. This position demands strong expertise in business analysis, enterprise data comprehension, stakeholder management, workshop facilitation, and precise requirements definition.

Key Responsibilities

- Engage with stakeholders across multiple business areas, brands, regions, and functions to identify use cases for Customer 360, Key Account, Cross-Business, and Graph Intelligence initiatives.
- Define and document user personas, business processes, workflows, user journeys, KPIs, success criteria, and expected business outcomes.
- Develop and maintain high-quality 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, retention, and risk insights.
- Manage stakeholder feedback and clarifications throughout solution design, development, user acceptance testing (UAT), rollout, and adoption phases.
- Assess and prioritize use cases based on business value, data availability, technical feasibility, adoption potential, and strategic alignment.
- Assist in product roadmap planning, minimum viable product (MVP) definition, backlog refinement, and prioritization activities.
- Contribute to developing business cases, value hypotheses, and measurable outcomes for future data and analytics investments.
- Drive continuous improvement of Customer 360 and Graph Intelligence capabilities and help build reusable enterprise-wide data products.

Required Qualifications

- Over 8 years of relevant experience 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 working on complex enterprise initiatives.
- Strong hands-on experience in gathering, analyzing, documenting, validating, and managing business, functional, and data requirements.
- Expertise in creating user stories, use cases, BRDs, functional specifications, process flows, workflows, and acceptance criteria.
- Skilled in facilitating business workshops, discovery sessions, requirements workshops, and stakeholder interviews.
- Excellent stakeholder management skills, capable of working across multiple business units, product teams, technical teams, and senior stakeholders.
- 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 among customers, accounts, products, services, contracts, and transactions.
- Ability to translate complex business problems 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 in the full delivery lifecycle: discovery, requirements gathering, design, development clarification, UAT, rollout, and stakeholder feedback.
- Strong analytical and problem-solving skills with the ability to understand complex business processes and data relationships.
- Experience supporting 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.
- Familiarity 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.
- Knowledge of Key Account Management processes and enterprise customer relationship models.
- Familiarity with Customer Master Data, Master Data Management (MDM), account and 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, remediation, 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 platforms.
- Experience working within Agile/Scrum and enterprise product development frameworks.
- Exposure to 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.
- Familiarity with CRM, Customer Data Platforms (CDPs), analytics, reporting, or enterprise data products.
- Practical use of AI and Generative AI tools to enhance productivity, analysis, documentation, requirements management, or stakeholder engagement.
- Experience in automotive, manufacturing, financial services, fleet management, mobility, or other complex B2B enterprise environments is advantageous.

Education

- Minimum of a Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related discipline.
- 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.