Principal Data Business Analyst - Customer 360 & Graph Intelligence

Datamatics-Global-Services-Ltd; Warszawa; Ibrido; PLN 349.000 - 465.000; Tempo pieno

Descrizione del lavoro

Datamatics-Global-Services-Ltd seeks a Principal Data Business Analyst to bridge business stakeholders and technical teams for Customer 360 and Graph Intelligence initiatives. You will identify high-value use cases, gather requirements, and translate them into actionable capabilities across enterprise data domains.

You will define processes, BRDs, user stories, and KPIs, supporting workshops, backlog prioritization, and data-driven decision making within a global, cross-functional environment.

Competenze

• 8+ years of relevant professional experience in BA, Data BA, Data Management, or related areas.
• Experience as Senior/Lead/Principal on complex enterprise initiatives.
• Experience gathering, documenting, validating, and managing business, functional, and data requirements.
• Experience creating user stories, use cases, BRDs, functional specs, process flows, workflows, and acceptance criteria.
• Experience facilitating workshops and interviewing stakeholders.
• Strong stakeholder management across multiple units and senior stakeholders.
• Experience with enterprise data platforms, analytics solutions, CRM data, or master data.
• Ability to translate complex business problems into clear use cases for technical teams.
• Experience defining KPIs, success criteria, and measurable value for data initiatives.
• Experience supporting end-to-end delivery lifecycle.

Mansioni

• Engage with stakeholders across brands, regions, and functions to identify Customer 360 and Graph Intelligence use cases.
• Define and document personas, processes, workflows, KPIs, and expected outcomes.
• Create and maintain BRDs, functional specs, use cases, and user stories.
• Analyze relationships across customer, account, asset, product, contract, revenue, and service data.
• Support definition of Customer 360 and Graph Intelligence capabilities for Key Account Management and loyalty.
• Manage stakeholder feedback during solution design, development, UAT, rollout, and adoption.
• Prioritize use cases based on value, data availability, feasibility, and alignment.
• Support product roadmap, MVP definition, backlog refinement, and prioritization.
• Assist in business case development, value hypotheses, and measurable outcomes for data investments.
• Contribute to reusable enterprise-wide data products and continuous improvement of capabilities.

Conoscenze

Business Analysis

Data Business Analysis

Data Management

Data & Analytics

CRM

Enterprise Applications

Stakeholder Management

Workshop Facilitation

Requirements Gathering

User Stories

Use Cases

BRDs & FSDs

KPIs & Metrics

Cross-Functional Collaboration

Formazione

Bachelor's degree

Master's degree / Certification (advantageous)

Strumenti

Azure DevOps

Confluence

Jira

Descrizione del lavoro

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.