Job description
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.
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2. Proven experience working at Senior, Lead, Principal, or equivalent level on complex enterprise initiatives.
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3. Strong hands-on experience gathering, analyzing, documenting, validating, and managing business, functional, and data requirements.
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4. Hands-on experience creating user stories, use cases, Business Requirements Documents, functional specifications, process flows, workflows, and acceptance criteria.
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5. Strong experience facilitating business workshops, discovery sessions, requirements workshops, and stakeholder interviews.
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6. Strong stakeholder management experience with the ability to work across multiple business units, product teams, technical teams, and senior stakeholders.
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7. Experience working with enterprise data platforms, analytics solutions, CRM/customer data solutions, master data, or enterprise applications.
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8. Strong understanding of customer and account data, including relationships between customers, accounts, products, services, contracts, transactions, or other enterprise entities.
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9. Ability to translate complex business problems into clearly defined business use cases and actionable requirements for technical teams.
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10. Experience defining KPIs, success criteria, business outcomes, and measurable value for business/data initiatives.
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11. Experience supporting the complete delivery lifecycle, including discovery, requirements, design, development clarification, UAT, rollout, and stakeholder feedback.
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12. Strong analytical and problem-solving skills with the ability to understand complex business processes and data relationships.
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13. Experience supporting use-case prioritization, MVP definition, backlog management, or roadmap planning.
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14. Ability to communicate effectively with both business and technical stakeholders, including product owners, architects, engineers, and data teams.
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15. Experience working in large, complex, cross-functional or multinational enterprise environments.
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16. Experience with graph databases, knowledge graphs, Graph Intelligence, or relationship-centric data models.
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Good-to-Have Skills
1. Experience with Customer 360 / Single Customer View solutions or initiatives.
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2. Knowledge of Key Account Management processes and enterprise customer relationship models.
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3. Experience with Customer Master Data, Master Data Management (MDM), account hierarchies, customer hierarchies, or entity relationships.
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4. Experience with customer insights such as customer loyalty, Share of Wallet, cross-sell, retention, segmentation, risk, or next-best-action use cases.
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5. Experience with data quality, data remediation, data governance, metadata, or data lineage concepts.
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6. Familiarity with cloud-based data and analytics platforms.
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7. Experience using Azure DevOps, Confluence, Jira, or similar enterprise product delivery and collaboration tools.
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8. Exposure to Agile/Scrum and enterprise product development frameworks.
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9. Experience working with global organizations involving multiple countries, brands, business units, or regional stakeholders.