Astellas Pharma

Description

Global Pharma Data Analyst & Data Product Developer – PDMX (Product Development & Manufacturing)

About Astellas:

At Astellas we are a progressive health partner, delivering value and outcomes where needed.

We pursue innovative science, focussing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under-served disease areas and in life-threatening or life-limiting diseases and conditions.

We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs are guiding our development activities at every stage.

Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. We believe all staff have a role to play in creating a patient-centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division.

We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies. We deliver the latest insights and real-world evidence to inform the best decisions for patients and their care-givers, to ensure the medicines we develop continue to provide meaningful outcomes.

Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.

The Opportunity:

The Global Pharma Data Analyst & Data Product Developer transforms complex raw data into clear, actionable insights across the Product Development & Manufacturing (PDM) landscape. You build and optimize a high‑performing Databricks Lakehouse that serves as the single source of truth for CMC, Manufacturing, and Supply Chain teams. By turning business needs into robust data models, AI‑ready datasets, and intuitive dashboards, you enable data‑driven decisions that accelerate the delivery of life‑changing therapies. Working end‑to‑end across the data lifecycle—and operating within a GxP‑aware, quality‑focused environment—you act as both developer and strategic advisor, shaping reliable data solutions and guiding stakeholders through complex challenges.

Hybrid Working:

At Astellas we recognise the importance of balancing your work and home life, so we offer a hybrid working solution allowing time to connect with colleagues in person at the office alongside the flexibility to work from home; optimising the most productive work environment for you to succeed and deliver.

Key Responsibilities:

• Data Modelling & Architecture: Design, develop, and maintain robust data models within the Databricks Lakehouse (Gold layer).
• Business Rules Development: Design, develop, and maintain robust business rules within the Databricks Lakehouse (Silver layer).
• Data Product Development: Build and deploy end-to-end data products, including high-performance Power BI dashboards, automated reports, and curated datasets optimized for AI/ML consumption.
• Business Translation: Facilitate workshops with stakeholders in CMC, Manufacturing, and Supply Chain (Commercial and Clinical) to capture complex business logic and translate it into scalable technical requirements.
• Performance Tuning: Monitor and optimize Spark jobs and SQL queries to ensure the Lakehouse environment remains performant and cost-effective.
• Technical Support: Act as the primary technical point of contact for the PDM value chain, providing rapid troubleshooting, issue resolution, and guidance for existing data solutions.
• Documentation: Maintain comprehensive specification and verification documentation in line with internal GxP and non-GxP standards for business rules, data models and data products.

Essential Knowledge & Experience:

• Experience in the pharmaceutical and/or biotech industry.
• Domain knowledge: Pharmaceutical manufacturing, CMC development, and/or supply chain (commercial and clinical).
• Business acumen: Ability to understand key business processes and translate business needs into technical requirements.
• Data expertise: Strong understanding of the data lifecycle and experience developing business rules, data models, and data products.
• Technical expertise:

o Solid experience with Data Vault 2.0 modelling and strong expertise in dimensional (star schema) modelling

o Proficiency in relevant tools and technologies, including Python, SQL, and BI platforms such as Databricks, Qlik Sense, and Power BI

• Architecture knowledge: Strong understanding of Lakehouse architecture (preferably Databricks)
• Excellent English communication and stakeholder management skills

Preferred Knowledge & Experience:

• Experience with Agile and Waterfall project methodologies
• Familiarity with advanced analytics, AI/ML, or predictive modelling
• Exposure to global pharmaceutical or biotech organizations
• Knowledge of continuous improvement frameworks

Education/Qualifications:

• University degree in in a relevant field, e.g., Computer Science, Data Science, Information Systems, or Engineering.

Additional Information:

This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office.

Astellas’ Global Capability Centres – Overview:

Astellas’ Global Capability Centre’s (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are located in India, Poland and Mexico.

The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.

Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company’s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help.

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