Top Remote Data & Analytics Jobs in Columbus, OH

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.

The role involves developing Celonis integrations, ETL pipelines, and implementing data models while collaborating with clients to drive insights and ensure data integrity.

This role involves designing and implementing data quality monitoring and governance for cyber datasets, collaborating with various stakeholders, and ensuring trusted data through frameworks and automated controls.

The Product Data Analyst leads data collection and analysis to inform product strategy, collaborates across teams, and ensures data integrity for decision-making in product management.

The Lead Implementation Specialist is responsible for data integration, reporting, and visualization, ensuring compliance, facilitating client support, mentoring, and driving continuous improvement in data processes.

Lead statistical strategies for clinical trials, ensuring regulatory compliance and guiding cross-functional teams in statistical methodologies and data management.

The Manager, Measurement Strategy leads complex data projects, designing measurement frameworks, delivering insights, mentoring analysts, and managing client relationships.

Lead the data analytics team at Solace, managing analysts, driving product strategy, and executing high-impact analytics while establishing best practices in data analytics.

Lead and scale the data analytics organization, guiding teams, driving product analytics strategy, and integrating AI to enhance data-driven decision-making across the company.

As a Staff Data Scientist, you'll analyze operational challenges, create dashboards, partner with teams, and use AI tools for data insights while delivering actionable recommendations to stakeholders.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.