Top Remote Data & Analytics Jobs in Columbus, OH

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

The Business Analyst will gather and document requirements, facilitate communication between stakeholders, and support the development of a clinical decision support platform while ensuring user satisfaction through testing and validation.

Manage web analytics strategy and implementation at Twilio, ensuring data integrity and delivering actionable insights through collaboration with cross-functional teams.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Senior Data Analyst will analyze user behavior and product performance, generate insights, and communicate findings effectively to drive decision-making and improvements at OneStudyTeam.

The Revenue Operations Analyst will analyze data, build dashboards, and support decision-making in Sales and Marketing, focusing on optimizing growth strategies.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

The Manager of Clinical Analytics leads data analytics initiatives for healthcare, focusing on improving clinical outcomes and performance metrics. Responsibilities include guiding teams, developing analytics capabilities, ensuring accurate reporting, and fostering collaboration between technical and non-technical stakeholders.

The Data Architect will lead database management, conduct data analysis, and work with stakeholders to align data requirements with business objectives.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

The Director of Data & Analytics will lead the analytics function, align data strategy with growth objectives, ensure data quality, and develop talent in the data team.