Top Data & Analytics Jobs

The Data Engineer/Data Visualization & Analytics Expert will work with an Agile team to build and maintain high-quality data pipelines for analytics, ensuring data-driven decision-making. Key responsibilities include designing data architecture, performing data manipulation using SQL, developing scripts in Python, and creating visualizations in Tableau or Power BI.

This role involves developing digital and innovation strategies for Takeda's manufacturing site. Responsibilities include collaborating on DD&T solutions, supporting data-driven projects, providing technical operations support, and assisting with hardware/software selection and implementation.

As a Data Engineer at Takeda, you will build and maintain scalable data systems, enhance data models, ensure data quality, and collaborate with cross-functional teams to support business intelligence and analytics needs.

The Senior Data Engineer/Manager will lead the data strategy for Plasma-Derived Therapies, collaborating with IT functions to develop data models and pipelines, enhancing data quality, and maintaining scalable data systems. They will work with various teams to ensure accurate data availability and support BI requirements, alongside developing systems for monitoring data quality and troubleshooting issues.

The Data Visualization & Analytics Engineer will analyze large datasets, conduct exploratory analysis, perform A/B testing, and develop dashboards to provide actionable insights. They will ensure data accuracy, collaborate with teams to integrate data, and promote data literacy, while adhering to global standards and best practices in data visualization and analytics.

The Software Engineer II will design, develop, and implement internal IT applications while documenting technical specifications. Responsibilities include developing business systems, collaborating within Agile teams, coding in various languages, and enhancing user experiences with technologies.

The Head of Enterprise Data Access Management and Privacy Classification oversees the data access model, ensuring compliance with privacy and security regulations. Responsibilities include strategizing and leading data governance initiatives, managing a team, collaborating with internal and external partners, and implementing data privacy tools.