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Job Description

About the role :

At Takeda, we believe that data and digital innovation are essential to fulfilling our mission. As a Data Analytics Manager, you will play a key role in transforming our manufacturing processes through data-driven insights and digital solutions. You'll be part of a dynamic, inclusive environment that values diverse perspectives, fosters collaboration, and supports your professional growth. Everyone's contribution matters, and we are committed to helping each team member thrive.

How you will contribute :

• Collect, analyze, and interpret complex data to drive operational efficiency and product quality at our Lessines plasma manufacturing site.

• Develop and maintain powerful dashboards, reports, and data visualization tools.

• Collaborate with cross-functional teams to identify data needs and provide analytical support.

• Lead digital transformation initiatives, including transitioning from paper-based processes to digital solutions.

• Support global data strategies, ensuring alignment with our organizational goals.

• Collect, analyze, and interpret complex data sets from various sources within the Lessines plasma manufacturing site.

• Develop and maintain dashboards, reports, and data visualization tools to support site operations and decision-making.

• Support the Plasma DD&T Head in Lessines or the Data & Analytics Lead, Plasma Manufacturing in implementing and standardizing global data practices across all plasma manufacturing sites.

• Play a leading role in the paperless project, focusing on transitioning paper-based processes to digital solutions.

• Collaborate with the global project team to design, test, and implement digital workflows and electronic batch records (EBR).

• Serve as a role model for the decentralized data office model, sharing best practices and providing support to other OpU sites

What you bring to Takeda :

• Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; advanced degree preferred.

• Experienced Leader who will inspire and coach the organization through the digital transformation

• Proven experience in data analytics, preferably within a manufacturing or pharmaceutical environment.

• Proficient in database management systems (e.g., SQL, Oracle, NoSQL databases).

• Experience with data warehousing and data lakes.

• Knowledge of data integration tools and ETL processes.

• Proficient in programming languages such as Python, R, and Java.

• Proficient in data visualization tools (e.g., Tableau, Power BI).

• Paperless solutions in Manufacturing Environment is a plus (MES and electronic batch record Siemens and Pas X, Oppstracker for eForms and eLogbooks)

• Excellent problem-solving skills and the ability to work with large, complex data sets.

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional and global teams.

• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.

More about us :

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Empowering our people to shine :

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information, or characteristics, marital or other status. At Takeda, we embrace diversity as a whole.

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