Business Intelligence & Data Science Manager at AstraZeneca

Baar, Zug, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Visualization, Data Science, Analytics, ETL, Power BI, Python, SQL, Cloud Data Services, DevOps, Machine Learning, NLP, Stakeholder Management, Data Architecture, Data Quality, Data Literacy

Industry

Pharmaceutical Manufacturing

Description

Business Intelligence & Data Science Manager Location: Baar, Switzerland Department: Innovation and Business Excellence (IBEX) Reports To: Commercial Excellence Lead About AstraZeneca At AstraZeneca, we do things differently. We’re resetting expectations of what a bio-pharmaceutical company can be. This means we’re opening up new ways to work, groundbreaking innovative methods, and bringing unexpected teams together. Here, we see the impact of our collective ideas and expertise, and the power of science to deliver them. Making the impossible a reality can mean taking a chance on an idea and investing in our outstanding capacity for innovation and discovery. We champion trying new things, and we nurture a test and learn culture that means we are always progressing close to our goals. Interested? Come and join our journey. This is what you will do Do you have hands-on expertise in and passion for Data Engineering and Visualisation, Data Science, and Analytics? Would you like to apply your expertise and passion to transform the lives of patients across various therapeutic areas in a company that follows the science and turns ideas into life-changing medicines? Then this position might be the one for you! Key Responsibilities Data Architecture and Platform Ownership Define and evolve the data architecture for pharma commercial analytics across ingestion, storage, transformation, semantics, and consumption layers Operate Redshift, SnapLogic, Power BI, and Python runtimes for reliability, performance, and cost; align with IT on security, networking, and identity Set and enforce standards for modeling (star schema, medallion), metadata, lineage, data quality, and access controls in line with regulations and AZ policies Data Engineering and Data Products Build and run production ETL/ELT pipelines integrating first- and third-party sources (SAP, Salesforce/Veeva, CRM/CLM, digital, email/web, syndicated, formulary/market access, field activity) Deliver reusable, well-documented data products and curated datasets optimized for Power BI, with SLAs, monitoring, and incident management Orchestrate dataflows and CI/CD; manage demand and releases via Azure DevOps/JIRA/GitHub Power BI Reporting and Decision Enablement Lead enterprise Power BI datasets, DAX measures, and certified dashboards for commercial performance, brands, field effectiveness, omnichannel, and market dynamics Govern KPIs, RLS/segmentation, usage monitoring, versioning, and lifecycle to drive trust and adoption Partner with Commercial Excellence, Digital Customer Engagement, brand teams, and broader stakeholders to turn requirements into actionable visual narratives Advanced Analytics & AI (incl. ML) Apply practical data science techniques, such as regression, clustering/segmentation, time series, and NLP to augment BI with predictive and diagnostic insight where appropriate, using Python (and optionally R) Operationalize models within the governed environment with traceability, quality monitoring, and business interpretability Collaboration and Impact Bridge business (sales, marketing, market access, insights) and IT/platform teams to align priorities, ensure data readiness, and deliver high-value use cases Champion data literacy and self-service; mentor contributors and coordinate external partners in a matrix setup Track impact with platform and adoption KPIs (pipeline reliability/latency, data quality, dashboard usage, time-to-insight, business outcome proxies) Your Profile 5+ years of experience spanning data engineering and business intelligence, with hands‑on ownership of data platforms, pipelines, and enterprise reporting in a regulated or complex environment; pharmaceutical or life sciences exposure is advantageous Bachelor’s degree (Master’s preferred) in Computer Science, Data/Software Engineering, Statistics, Mathematics, Health Informatics, or related discipline Expert SQL and strong Python; experience with data modeling (star schema, medallion), semantic layer design, and performance tuning Proven delivery of at least two end‑to‑end data warehouse/BI/visualisation initiatives, from ingestion through production reporting Proficiency operating cloud data services and DevOps practices (e.g., Redshift, SnapLogic, Power BI, Python runtimes; Informatica/Databricks a plus) Familiarity with commercial pharma datasets and systems (e.g., SAP, Salesforce, Veeva CRM/Align, digital engagement and web analytics, email marketing platforms) Practical understanding of advanced analytics and statistical programming; ability to apply ML/NLP thoughtfully to commercial problems Strong communication and stakeholder management skills, with the ability to convey complex concepts to nontechnical audiences and drive alignment in a matrix environment Fluent in English; German or French is a plus What Success Looks Like A trusted, compliant data foundation with reliable pipelines, high data quality, and performant semantic models High‑adoption Power BI dashboards that provide consistent, timely insights for commercial decision‑making Accelerated delivery of data products and analytics use cases, measured by reduced time‑to‑insight and demonstrated business impact Clear governance and operating model for data demand, releases, and lifecycle management We offer When we put unexpected teams in the same room, we fuel ambitious thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Why AstraZeneca? At AstraZeneca, we are leading a transformation, fusing our digital and data capabilities with backing from the business to make it happen. We are leveraging our leading technologies and exploring data to make improved decisions and help the business reach the right outcomes, quickly. We are a diverse team of technical experts, each bringing something different to the table. What unites us is our dedicated desire to learn. We partner across the business, getting involved in projects early on to ensure the right technologies are implemented. We're recognised for the big contributions we make to AstraZeneca. As our data and digital capabilities expand every day, we know we're playing our part in accelerating AstraZeneca's growth. Ready to make a difference? Apply now and join us in our mission to build a better future for patients worldwide! Date Posted 21-Nov-2025 Closing Date 29-Nov-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Responsibilities

The Business Intelligence & Data Science Manager will define and evolve the data architecture for pharma commercial analytics and build production ETL/ELT pipelines. They will lead Power BI reporting and apply advanced analytics techniques to support commercial decision-making.