Top Remote Data & Analytics Jobs in Dayton, OH

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/Staff Data Engineer will design and scale the core data platform for healthcare systems, focusing on infrastructure, tooling, and governance while mentoring engineers and collaborating with various teams.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

Owns analytics and reporting that inform sales, merchant success, product, and fraud teams; builds business cases, pricing models, dashboards, and ROI analyses to drive merchant acquisition, expansion, and retention.

Synthesize analyses across product, marketing, reporting, and data science to create executive-ready narratives and decision materials. Partner with analytics teams and business leaders to surface high-impact insights, improve discoverability and adoption of analytics, set standards for storytelling, and ensure insights drive organizational alignment and action.

Lead growth analytics for a marketplace: partner across product, marketing, sales, and finance to identify opportunities, size impact, run experiments, maintain dashboards, and translate findings into action to move North Star metrics and OKRs.

The Senior Technical Business Systems Analyst improves collaboration and productivity by leveraging tools like Microsoft 365 and AI, optimizing systems, and driving adoption across the organization.

Leads monitoring, evaluation, and learning (MEL) for a large institutional grant across the project lifecycle. Designs MEL systems, supports proposal development, oversees data collection/quality/analysis, ensures donor compliance and readiness for reviews, facilitates learning and knowledge management, and provides technical guidance and capacity strengthening to partners and colleagues. Leverages digital tools and dashboards to improve data management and reporting.