Principal Data Business Analyst - Customer 360 & Graph Intelligence

Datamatics-Global-Services-Ltd; Islamabad; Hybrid; PKR 24,834,000 - 30,353,000; Full time

Job summary

Datamatics-Global-Services-Ltd is seeking a Principal Data Business Analyst focused on Customer 360 and Graph Intelligence to bridge business and technical teams across the enterprise. You will identify high-value use cases, gather requirements, and translate them into actionable capabilities supporting multiple business areas.

The role emphasizes business analysis, data understanding, and stakeholder management, with hands-on experience in documenting BRDs, use cases, and user stories, plus

Qualifications

• 8+ years of relevant professional experience in Business/Data Analysis, CRM, or enterprise apps.
• Senior/Lead/Principal level experience on complex enterprise initiatives.
• Experience gathering, documenting, validating, and managing business, functional and data requirements.
• Experience creating BRDs, functional specs, process flows, use cases and user stories.
• Facilitating business workshops and stakeholder interviews.
• Excellent stakeholder management across regions and units.
• Experience with enterprise data platforms, CRM/customer data solutions, data governance.
• Strong understanding of customer and account data relationships.
• Ability to translate complex problems into actionable technical requirements.
• Experience defining KPIs, success criteria, and measurable outcomes.
• End-to-end delivery lifecycle support including discovery, design, UAT, rollout.
• Analytical and problem-solving skills; data relationships.
• Prioritization, MVP definition and backlog management.
• Effective communication with business and technical teams.
• Experience in multinational environments and cross-country programs.
• Knowledge of graph databases and Graph Intelligence.

Responsibilities

• Engage with stakeholders to identify Customer 360, Key Account, and Graph Intelligence use cases.
• Define and document user personas, processes, workflows, KPIs, and expected outcomes.
• Create BRDs, functional specs, flows, use cases, and user stories of high quality.
• Analyze relationships across customer, account, asset, product, contract, finance, service data.
• Support definition of capabilities for KPIs like loyalty, Share of Wallet, cross-sell, retention.
• Manage stakeholder feedback during design, development, UAT, rollout, adoption.
• Prioritize use cases based on business value, feasibility, adoption, and alignment.
• Support product roadmap planning, MVP definition, backlog refinement, prioritization.
• Assist in business cases, value hypotheses and measurable outcomes for analytics investments.
• Contribute to reusable enterprise-wide data products and continuous improvement.

Skills

Stakeholder management

Business analysis

Data requirements

BRD & SRS

User stories & use cases

Workshops facilitation

KPI definition

Cross-functional collaboration

Enterprise data understanding

Customer 360

Graph Intelligence

Requirements traceability

Backlog prioritization

Roadmap planning

UAT support

Product/data use cases

Education

Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or related field

Master's degree, MBA, or relevant certifications advantageous

Job description

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.