Top Data & Analytics Jobs

The Senior IT eDiscovery Analyst will execute eDiscovery and litigation-related activities, manage relationships with Legal and IT stakeholders, maintain eDiscovery tools, automate processes, and provide software training. This role involves ensuring data preservation under Legal Hold and developing business relationships across functions.

The Senior Data Engineer/Manager will lead the data strategy for Plasma-Derived Therapies, developing data models and ingestion pipelines while ensuring data quality for real-time decision making. Responsibilities include creating and maintaining data systems, collaborating with IT and business teams, and facilitating data-driven decision-making across the organization.

The Senior Data Engineer will manage and configure the Labware LIMS system, utilizing Labware BASIC for customizations, developing advanced SQL queries for data analysis, and implementing master data management solutions while documenting processes and training users.

The Senior Data Engineer is responsible for configuring the Labware LIMS system, programming in Labware BASIC, developing advanced SQL queries, implementing master data management solutions, and collaborating with cross-functional teams to meet business needs through effective technical solutions.

The Risk & Compliance Analyst will develop and execute a strategic CSV plan aligning with compliance and quality objectives. Responsibilities include overseeing validation documentation, conducting risk assessments, managing change control processes, and ensuring regulatory compliance. The role involves collaborating with other departments and managing a validation team.

As a Data Engineer at Takeda, you will develop an ecosystem for effective data usage to support R&D and other organizations, apply advanced data techniques, work with data sciences, and lead complex data analysis efforts. You'll also explore new technologies and maintain up-to-date knowledge in the field.

The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.