Business Analyst & Data Management Lead

Location: Barcelona - Spain (3 days working from the office and 2 days working from home)

Why This Role Is Crucial Now

As data becomes increasingly central to how EUCAN & International makes decisions, scales capabilities, and strengthens commercial execution, we are evolving our Advanced Analytics & Data Management capability within Business Systems.

This is a strong opportunity to shape how business needs are translated into trusted, scalable, and future-ready data and analytics solutions across the region. You will help build the foundations for better reporting, stronger governance, more reusable data products, and improved decision-making, while also supporting the adoption of smarter, more efficient ways of working.

This position is suited to someone who wants to shape the end-to-end solution itself, from backend data engineering to customer-facing BI and analytics solutions. The Business Analyst Lead for Advanced Analytics & Data Management will define requirements, ensure solution integrity, strengthen the business layer of data products, validate outputs, and enable trusted business consumption of data assets.

It is also a forward-looking opportunity. Beyond supporting current reporting and data needs, you will help identify where processes can be streamlined and where new technologies, including AI-enabled solutions, can improve efficiency, quality, and scalability with the right level of governance.

This Is What You Will Do

You will analyze business needs to shape data and analytics solutions and ensure their integrity across the full lifecycle, from requirement framing and solution design through validation, onboarding, go-live, and continuous improvement.

You will act as the business-facing anchor for Advanced Analytics & Data Management within Business Systems, working across commercial teams, Alexion Data Office (ADO), IT, engineering, and data product stakeholders. You will bring structure to business demand, clarity to solution requirements, and discipline to the validation of business-facing outputs.

You will also help the organization evolve how it works. This includes identifying opportunities to streamline workflows, reduce duplication, optimize processes, and apply new technologies, including AI-enabled solutions, where they can add value in a practical, governed, and business-relevant way.

You Will Be Responsible For

1.Shaping Solutions from Business Needs

Lead the translation of business demand into structured, scalable, and delivery-ready solution requirements.

• Engage with regional and local stakeholders to understand business objectives, reporting needs, operational pain points, and opportunities for process improvement.

• Convert business requests into clear business requirements, user stories, process flows, business rules, and acceptance criteria.

• Lead business requirement mapping, domain and data product identification, and scope definition for new and evolving solutions.

• Support prioritization and traceability of requirements across Business, ADO, and technical teams.

• Bring a process redesign mindset by identifying where workflows can be simplified, standardized, or improved rather than simply replicated.

• Apply the “as far downstream as possible” principle by identifying when improvements or data quality issues should be addressed in source systems, in close partnership with Business Systems owners and IT system owners

2.Ensuring Integrity of Data Products and Analytics Solutions

Support the business design and integrity of data products, dashboards, and analytics solutions so they are trusted, reusable, and aligned with intended business outcomes.

• Lead or support semantic and metric modelling, including KPI logic, business-layer definitions, and alignment of reporting semantics.

• Support metric implementation, iterative prototyping and feedback, and data quality and reconciliation from a business perspective.

• Ensure solutions are designed with strong business traceability, metadata awareness, and readiness for FAIR and increasing AI-ready use cases.

• Support the business validation of how data is structured, consumed, and reused across reporting and analytics products.

• Contribute to governance and certification of trusted datasets that support regional and country decision-making.

3.Owning Key Business Analyst Activities Across Core Scenarios

Operate as the lead Business Analyst across the full lifecycle of data and analytics solutions, ensuring that business needs are correctly framed, validated, and translated into solutions that can be adopted with confidence.

• Lead the business analysis activities required for new dashboards, reporting enhancements, data product changes, source onboarding, and solution updates.

• Support business framing, impact assessment, and fit-gap analysis for new requirements and evolving business needs.

• Coordinate requirement readiness, validation activities, and business alignment throughout design and delivery.

• Ensure business output is reviewed, documented, and signed off in a structured and traceable way.

• Maintain strong continuity across change requests, onboarding activities, issue resolution, and lifecycle improvements.

4.Driving Reporting Validation, Readiness, and Business Adoption

Ensure reporting and analytics outputs are fit for purpose and ready for confident use.

• Support UAT, business validation, and sign-off across dashboards, data products, and user-facing solutions.

• Confirm that delivered outputs meet business expectations and support decision-making without unnecessary rework.

• Support formal go-live and documentation, ensuring business readiness and continuity.

• Help rationalise reporting demand and identify opportunities to reduce duplication through reuse of existing trusted assets.

• Assess where automation or AI-supported validation could improve speed, consistency, and quality while maintaining appropriate controls.

5.Enabling Workflow Streamlining and AI-Supported Process Optimization

Help the function improve how work gets done by identifying practical opportunities to streamline workflows and apply technology in meaningful ways.

• Continuously assess current processes to identify opportunities for workflow streamlining, process optimization, and better orchestration across analytics and data management activities.

• Contribute to the design and deployment of AI-enabled solutions that can support activities such as requirement handling, metadata support, documentation, quality checks, onboarding coordination, and reporting validation.

• Support the definition of where AI agents or automated workflows can add value, and where human-in-the-loop review is required to ensure quality, control, and compliance in a regulated environment.

• Help translate AI and automation opportunities into business-relevant use cases with clear value, feasibility, and governance.

• Promote practical adoption of new technologies by helping stakeholders understand not just the tools, but how ways of working need to evolve around them.

6.Strengthening Governance, Continuity and Scalability

Contribute to a more resilient and future-ready operating model for Advanced

Analytics & Data Management.

• Maintain strong documentation, SOPs, and knowledge capture practices to improve continuity and reduce reliance on informal knowledge.

• Support structured hand-offs, issue follow-up, and coordination across business and technical teams.

• Help standardise business definitions, validation approaches, and onboarding practices across the region.

• Contribute to a scalable model for trusted data and analytics delivery across EUCAN & International.

You Will Need to Have

• Bachelor’s degree in business, Information Systems, Data & Analytics, Life Sciences, or a related field.

• Solid experience (7+ years) in business analysis, data and analytics delivery, business intelligence, or a related function.

• Demonstrated strong ability to translate business needs into clear and structured requirements for data engineering and BI development teams.

• Strong understanding of data structures, semantic layers, KPI logic, and analytics workflows.

• Experience working with BI and reporting tools, ideally including Power BI. Preferred: Initial Power BI development experience and a very clear understanding on strengths and weaknesses.

• Experience working with data warehouse solutions, ideally including Snowflake. Good level of SQL coding required.

• Experience supporting UAT, business validation, and release readiness.

• Strong stakeholder management skills across business and technical teams.

• Ability to work in complex, cross-functional, and matrixed environments.

• Excellent communication, facilitation, and documentation skills.

• Structured, analytical mindset with strong attention to detail.

• Strong interest in workflow streamlining, process optimization, and improving ways of working through technology.

• Demonstrated use of generative AI in data management, analytics operations, or related business processes, with a clear understanding of human-in-the-loop design and why it matters in a regulated industry.

• Experience assessing where new technologies, including AI solutions, can improve process efficiency, quality, and scalability without compromising governance.

• Demonstrated ability to influence without authority and drive alignment in matrixed, cross-functional organizations spanning global, regional, and local levels.

• Experience working across multiple geographies and translating global strategies into local execution.

• Excellent stakeholder management, communication, and storytelling skills, with an analytical mindset and the ability to turn data into decisions.

• Interest and curiosity in understanding the full data supply chain. In metaphors: “we don’t need an island expert; we need a boat captain capable of navigating the route from one island to the other”

• Fluent in English.

We Would Prefer for You to Have

• Experience in the pharmaceutical, biotech, healthcare, or another regulated industry.

• Familiarity with commercial and customer data domains such as CRM, engagement data, sales data, finance data, or content data.

• Experience supporting the design, onboarding, or validation of data products used for reporting, analytics, or AI-enabled use cases.

• Familiarity with FAIR principles, metadata, semantic modelling, and the business requirements needed to make datasets reusable and trusted.

• Experience working with data engineers, analytics engineers, BI developers, and enterprise data platform teams.

• Exposure to AI-enabled solutions in analytics, data management, or workflow orchestration, including an understanding of how to apply them responsibly in a business environment.

• Familiarity with agentic AI patterns such as task orchestration, workflow automation, retrieval over approved knowledge sources, or multi-step business process support.

• Experience identifying opportunities to streamline workflows, reducing manual effort, and redesign processes using new technologies rather than simply digitizing existing ways of working.

• Understanding of human-in-the-loop controls, validation checkpoints, and governance expectations when applying AI in regulated or business-critical processes.

• Experience supporting stakeholders across multiple geographies and balancing global standards with regional and local execution needs.

• Ability to work comfortably at the intersection of business, data, technology, and change, helping teams adopt improved ways of working with clarity and confidence.

Why Alexion, AstraZeneca Rare Disease

At Alexion, work isn't ordinary. As leaders in rare disease, our closeness to patients brings us closer to our work and to each other. Joining Alexion means combining the agility and pioneering spirit of a focused rare disease business with the scale, investment, and career opportunities of AstraZeneca. In this role you will directly shape how thousands of healthcare professionals across EUCAN & International experience our company — and, through them, how patients with rare diseases are found, diagnosed, and treated.

AstraZeneca and Alexion embrace diversity and equality of opportunity. We are committed to building an inclusive team representing all backgrounds, with as wide a range of perspectives as possible. All qualified applicants will receive consideration for employment without regard to any legally protected characteristic.

Date Posted

Closing Date

Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact [email protected]. Alexion participates in E-Verify.