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 howEUCAN & Internationalmakes decisions scales capabilities and strengthens commercial execution we are evolving ourAdvanced Analytics & Data Managementcapability withinBusiness 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-facingBIand analytics solutions. TheBusiness Analyst Lead for Advanced Analytics & Data Managementwill 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 includingAI-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 forAdvanced Analytics & Data ManagementwithinBusiness Systems working across commercial teamsAlexion 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 applynew 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.

• Leadbusiness requirement mappingdomain and data product identification andscope definitionfor new and evolving solutions.

• Support prioritization and traceability of requirements acrossBusinessADO and technical teams.

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

• Apply theas far downstream as possibleprinciple by identifying when improvements or data quality issues should be addressed insource systems in close partnership withBusiness Systems ownersandIT 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 supportsemantic and metric modelling including KPI logic business-layer definitions and alignment of reporting semantics.

• Supportmetric implementationiterative prototyping and feedback anddata quality and reconciliationfrom a business perspective.

• Ensure solutions are designed with strong business traceability metadata awareness and readiness forFAIRand increasingAI-readyuse 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.

• SupportUAT 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.

• Supportformal 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 orAI-supported validationcould 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 forworkflow streamliningprocess optimization andbetter orchestrationacross analytics and data management activities.

• Contribute to the design and deployment ofAI-enabled solutionsthat can support activities such as requirement handling metadata support documentation quality checks onboarding coordination and reporting validation.

• Support the definition of whereAI agentsor automated workflows can add value and wherehuman-in-the-loopreview 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 forAdvanced

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 acrossEUCAN & International.

You Will Need to Have

• Bachelors degree in businessInformation SystemsData & AnalyticsLife Sciences or a related field.

• Solid experience (7 years) inbusiness analysisdata and analytics deliverybusiness 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 ofdata structuressemantic layersKPI logic andanalytics workflows.

• Experience working withBI and reporting tools ideally includingPower 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 supportingUATbusiness validation andrelease 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 inworkflow streamliningprocess optimization and improving ways of working through technology.

• Demonstrated use ofgenerative AIindata management analytics operations or related business processes with a clear understanding ofhuman-in-the-loop designand why it matters in a regulated industry.

• Experience assessing where new technologies includingAI 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 metaphors: we dont need an island expert; we need a boat captain capable of navigating the route from one island to the other

• Fluent inEnglish.

We Would Prefer for You to Have

• Experience in thepharmaceuticalbiotechhealthcare or anotherregulated industry.

• Familiarity with commercial and customer data domains such asCRM engagement data sales data finance data or content data.

• Experience supporting the design onboarding or validation ofdata productsused for reporting analytics or AI-enabled use cases.

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

• Experience working withdata engineersanalytics engineersBI developers and enterprise data platform teams.

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

• Familiarity withagentic AI patternssuch 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 ofhuman-in-the-loop controls validation checkpoints and governance expectations when applyingAIin 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 ofbusiness data technology and change helping teams adopt improved ways of working with clarity and confidence.

Why Alexion AstraZeneca Rare Disease

At Alexion work isnt 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 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 lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (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 aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.