Top Remote Data & Analytics Jobs

The Data Engineer II will design, develop, and support data integration and ETL projects, mentor other data engineers, and ensure the quality of BI data. Responsibilities include data profiling, logical/physical modeling, performance tuning, and collaborating with offshore teams on development tasks.

The Senior Trading Analyst at Swish Analytics will manage client risk, oversee depth chart accuracy, and conduct strategic research on betting trends. The role requires a strong understanding of sports betting and the ability to turn data into actionable insights while working flexibly to cover various schedules.

The Lead Data Engineer will create and maintain data pipelines, handle complex data transformations, and collaborate with development teams. Responsibilities include optimizing queries, automating processes, and improving data systems. The role requires troubleshooting and incident resolution while providing leadership to the team.

The Chatbot Analyst at Axos Bank is responsible for optimizing and improving the chatbot experience, developing technical solutions for use cases, and monitoring chatbot performance to drive innovation within the chatbot framework.

As a Senior Data Scientist at BEES, you will develop and implement machine learning and deep learning algorithms to solve complex business problems, utilizing cloud platforms for data processing, and collaborating with cross-functional teams to deliver high-quality solutions.

The Principal Analytics Engineer at Americor will bridge data engineering, data science, and business intelligence, driving analytics innovations. Responsibilities include building and deploying automated machine learning models, conducting audits for best practices, and delivering impactful analytics solutions through advanced reporting and statistical experimentation.

The Data Architect will design and implement Azure technology architecture, lead workshops for data solutions, and manage technical planning for projects. They will mentor teams, collaborate with stakeholders, and ensure efficient solutions align with client needs while supporting Agile Scrum methodologies.