Top Data & Analytics Jobs

The Sr. Manager, Plan Deliver Data Specialist is responsible for data architecture requirements in SAP S/4HANA, managing the Common Information Model, leading data migration processes, and ensuring implementation of data governance policies. This individual collaborates with various teams to optimize data flows and maintain data quality throughout the migration process.

The IT Operations Analyst supports IT systems for business units, providing technical support to clients and resolving complex issues. Responsibilities include troubleshooting, optimizing operating systems, managing service agreements, and maintaining asset management systems. The role also involves communication with users and ensuring compliance with IT policies and procedures.

As a Data Steward at Fidelity, you will manage business data definitions, ensure high data quality, support data modernization, and collaborate with various teams to drive data inventory and compliance with privacy laws.

The Principal Data Engineer will lead the development of data solutions, focusing on a digital email assistant tool while collaborating with teams to enhance customer engagement. Responsibilities include using ETL tools, optimizing data processes, and applying strategic thinking to solve technical challenges.

Designs and develops resilient data infrastructure for 401k recordkeeping platform using Oracle DB on Azure and Azure-managed services. Develops ETL frameworks with Shell Scripting, Control-M, Azure Data Factory, and Oracle PL/SQL. Collaborates with stakeholders, mentors junior team members, and establishes project plans for moderate scope projects.

The Principal Scientist, Biologics manages and leads late-phase biologics process development and manufacturing across multiple technology areas. Responsibilities include project management, compliance, collaboration with external CDMOs, and regulatory documentation. This role ensures the development of safe and compliant processes and products for clinical and commercial use in oncology and rare diseases.

The Senior Data Engineer will develop and manage data pipelines, analyze financial data to identify trends, enhance data quality, collaborate with cross-functional teams, and support operational efficiency through data-driven insights and reporting.

The Senior Data Scientist will develop and lead machine learning and statistical efforts to address business challenges, analyze large datasets for trends and anomalies, and collaborate with stakeholders to deliver data-driven solutions. Responsibilities include creating ML models and enhancing data processes.

The Senior Data Scientist will develop and lead statistical and machine learning projects, leveraging large scale data processing. Responsibilities include analyzing datasets, developing machine learning models, conducting original analyses, and collaborating with stakeholders to provide data-driven solutions.

The Artificial Intelligence Data Engineer will develop and maintain data infrastructure for AI initiatives, implement data ingestion and transformation processes, optimize storage solutions, ensure scalability and reliability of data pipelines, and collaborate with AI teams to meet data needs.

The Assistant Scientist in Analytical Development at Catalent supports laboratory operations by maintaining equipment, managing supplies, and ensuring compliance with GMP standards. Responsibilities include routine maintenance, solution preparation, inventory management, and assisting in lab testing and procedural documentation, all to foster a patient-first culture in drug production.

The Research and Development Scientist at Catalent will be responsible for initiating and implementing new product initiatives, creating formulations, maintaining laboratory documentation, and supporting production trials. The role requires collaboration with various departments and customer interaction to ensure the successful launch and maintenance of products.

The Associate Scientist I, Analytical Research & Development will support analytical testing of raw materials and finished products, prepare reagents, dispose of hazardous waste, and maintain analytical equipment. Responsibilities include tabulating results and providing project support for new product development.