Top Remote Data & Analytics Jobs in Cleveland, OH

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

The Associate Actuary conducts analysis, pricing, and risk assessment to estimate financial outcomes, supporting internal and external initiatives with innovative methodologies and data-driven insights.

The data analyst will transform complex data into actionable insights for commercial functions, improve decision-making, and enhance sales and marketing performance. They will own workflows, develop analytical solutions, and present clear recommendations to stakeholders.

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

As a Data Engineer, you will build and maintain data pipelines, improve customer integrations, and collaborate with teams to deliver data solutions that reduce food waste.

The Senior Business Intelligence Engineer analyzes diverse data to solve complex business issues, influences strategy, and presents actionable insights to decision-makers.

The Instructional Designer will develop and design digital science curriculum products, manage projects, and ensure content is optimized for K-12 education.

As a Biostatistician in the Cardiac team, you'll conduct statistical analyses, validate results, and support drug development through collaboration and quality control.

The Manager of Data Analytics leads a global team to improve Quality systems and ensure compliance with industry regulations while driving continuous improvement initiatives.

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.