Top Data & Analytics Jobs

The Manager of Data Engineering will oversee the data engineering team, building and scaling data infrastructure to support data-driven initiatives. Responsibilities include executing data strategy, enforcing data governance, ensuring data quality, and collaborating with cross-functional teams on analytics and application data design.

As a Senior Data Scientist at Empirico, you will analyze large-scale human genetics data to identify therapeutic targets. Collaborating with a multidisciplinary team, you will build computational pipelines, implement analytical methods, and visualize genetic datasets, contributing to drug discovery efforts.

The Director of Data Sciences at Epic Sciences will provide leadership and expertise in computational biology and cancer biology. They will collaborate with various teams to develop cancer diagnostic tests and engage in strategic planning to enhance effectiveness. This role involves significant communication and leadership skills to manage external partnerships and drive projects to completion.

The Data Engineer will design, build, and maintain data pipelines and architectures in AWS, focusing on data integrity and automated testing. Responsibilities include developing ETL processes, standardizing and cleansing data, building data consumption patterns, and implementing automated CICD practices. Documentation and monitoring of data processes are also key aspects of the role.

The Sr. Data Architect at CDK Global will design and optimize data platforms, ensuring data integrity, security, and efficient processing. They will collaborate with stakeholders to align business needs with technical solutions across various data functionalities, and oversee the implementation of data models and architecture for diverse applications.

The Business Analyst will play a crucial role in the design, development, testing, and integration of applications. Responsibilities include gathering requirements, authoring use cases, creating visual aids, testing, and ensuring user satisfaction. Collaboration with development teams, facilitation of Scrum meetings, and managing project timelines are essential tasks.

The Senior Data Scientist will deliver analytical insights, support multiple business units, and collaborate with engineering teams to enhance the technology platform. Responsibilities include driving analytical projects, optimizing revenue, developing dashboards, and leading cross-functional initiatives. The ideal candidate will have extensive experience in data analysis and team leadership.