Business Analyst & Data Management Lead - Alexion Pharmaceuticals

OverviewPara una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.In this role you shape end-to-end data and analytics solutions for EUCAN & International, aligning business needs with scalable data products.You partner across commercial teams, IT, and data offices to ensure solution integrity and governance.You drive process improvements and explore AI-enabled approaches to boost efficiency and decision-making.You will anchor the business-facing analytics function, turning requirements into trusted outputs that support regional strategy and execution.This is a hands-on, cross-functional role with a clear impact on reporting, governance, and data readiness.ResponsabilidadesTranslate business needs into structured, scalable requirements and define acceptance criteriaMap requirements, identify data products, and manage scoping for new and evolving solutionsLead prioritization and traceability of requirements across Business, ADO, and technical teamsStreamline workflows and apply process redesign to improve efficiencyEnsure data products and dashboards are trusted, reusable, and aligned with business outcomesModel semantic layers, KPI logic, and align reporting semanticsSupport data quality, reconciliation, and business validation of data structuresGovern datasets with metadata awareness and readiness for FAIR and AI-ready use casesLead end-to-end lifecycle activities for dashboards, reporting enhancements, and data product changesDrive UAT, validation, go-live readiness, and documentation for business adoptionPromote AI-enabled validation and automated workflows with human-in-the-loop controlsHelp standardize definitions, validation approaches, and onboarding across the regionSupport governance, continuity, and scalability of the Advanced Analytics & Data Management functionRequisitos principalesBachelor’s degree in business, Information Systems, Data & Analytics, Life Sciences, or related field7+ years in business analysis, data/analytics delivery, BI, or related functionProven ability to translate business needs into data engineering/BI requirementsStrong grasp of data structures, semantic layers, KPI logic, and analytics workflowsExperience with BI/reporting tools, preferably Power BI; initial Power BI development is a plusExperience with data warehouse solutions, ideally Snowflake; xqysrnh solid SQL skillsExperience supporting UAT, validation, and release readinessStrong stakeholder management across business and technical teamsAbility to work in complex, cross-functional, matrixed environmentsExcellent communication, facilitation, and documentation skillsStructured, analytical mindset with attention to detailInterest in workflow streamlining and technology-enabled process improvementExperience applying generative AI in data management or analytics with human-in-the-loop designAbility to influence without authority and align across global, regional, and local levelsFluent in Englishstakeholder managementcommunicationfacilitationPower BISnowflakeSQL

You will anchor the business-facing analytics function, turning requirements into trusted outputs that support regional strategy and execution. This is a hands-on, cross-functional role with a clear impact on reporting, governance, and data readiness.ResponsabilidadesTranslate business needs into structured, scalable requirements and define acceptance criteriaMap requirements, identify data products, and manage scoping for new and evolving solutionsLead prioritization and traceability of requirements across Business, ADO, and technical teamsStreamline workflows and apply process redesign to improve efficiencyEnsure data products and dashboards are trusted, reusable, and aligned with business outcomesModel semantic layers, KPI logic, and align reporting semanticsSupport data quality, reconciliation, and business validation of data structuresGovern datasets with metadata awareness and readiness for FAIR and AI-ready use casesLead end-to-end lifecycle activities for dashboards, reporting enhancements, and data product changesDrive UAT, validation, go-live readiness, and documentation for business adoptionPromote AI-enabled validation and automated workflows with human-in-the-loop controlsHelp standardize definitions, validation approaches, and onboarding across the regionSupport governance, continuity, and scalability of the Advanced Analytics & Data Management functionRequisitos principalesBachelor’s degree in business, Information Systems, Data & Analytics, Life Sciences, or related field7+ years in business analysis, data/analytics delivery, BI, or related functionProven ability to translate business needs into data engineering/BI requirementsStrong grasp of data structures, semantic layers, KPI logic, and analytics workflowsExperience with BI/reporting tools, preferably Power BI; initial Power BI development is a plusExperience with data warehouse solutions, ideally Snowflake; xqysrnh solid SQL skillsExperience supporting UAT, validation, and release readinessStrong stakeholder management across business and technical teamsAbility to work in complex, cross-functional, matrixed environmentsExcellent communication, facilitation, and documentation skillsStructured, analytical mindset with attention to detailInterest in workflow streamlining and technology-enabled process improvementExperience applying generative AI in data management or analytics with human-in-the-loop designAbility to influence without authority and align across global, regional, and local levelsFluent in Englishstakeholder managementcommunicationfacilitationPower BISnowflakeSQL

OverviewPara una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.In this role you shape end-to-end data and analytics solutions for EUCAN & International, aligning business needs with scalable data products. You partner across commercial teams, IT, and data offices to ensure solution integrity and governance. You drive process improvements and explore AI-enabled approaches to boost efficiency and decision-making.