Top Data & Analytics Jobs

The SQL Database Administrator will manage and maintain SQL databases, perform troubleshooting, respond to customer requests, support database backups and restores, and participate in 24x7 on-call support. The role includes ensuring security and compliance and contributes to configuration and performance tuning of infrastructure.

The VP of Engineering, Data at Axios will lead the data engineering, data science, and analytics teams, overseeing the data platform's architecture and infrastructure. They will manage the data leadership team, set the vision and strategy for data initiatives, ensure alignment with company goals, and foster a diverse and inclusive environment.

The Research Scientist will design and execute R&D activities to contribute to formative assessment tools for student development focusing on anti-racist and anti-ableist measures. Responsibilities include managing an item bank, creating data collection protocols, conducting field research, and participating in data analysis while collaborating with various teams.

The Data Assistant role involves managing data collection systems, preparing materials for clients, ensuring timely survey administration, designing effective data dashboards, and maintaining quality assurance procedures. This position offers hands-on experience in data processing, management, and reporting, aimed at driving impactful decisions in educational settings.

The Data Engineering Manager will lead initiatives to improve Datasite's data architecture, oversee the development of data pipelines, and ensure high-quality data availability. This role involves collaborating with leadership to translate business needs into technical requirements, exploring new data tools, and managing a team focused on enhancing data observability and integrity.

As an Applied Scientist at DEFCON AI, you will drive the development and deployment of Reinforcement Learning models. Key responsibilities include designing and optimizing mathematical models, implementing RL algorithms, and communicating technical findings to stakeholders. Collaboration with multi-disciplinary teams is essential to address complex challenges in mobility and logistics operations.

Responsible for collecting, processing, and accurately entering data into systems. Analyze data, develop reports, and provide insights to support business decisions. Collaborate with teams to understand data needs and trends. Monitor KPIs and stay updated on data analysis best practices.