Top Data & Analytics Jobs in Cincinnati, OH

Design and price point-of-care advertising campaigns, develop targeting recommendations, manage inventory and pricing standards, analyze prescription and campaign performance to support renewals and upsells.

The Senior Category Advisor will analyze market data, develop strategies to enhance category growth, collaborate across teams, and create actionable recommendations for the Cookies and Crackers category.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead enterprise data and analytics strategy and Information Delivery (BI, Data Engineering, Integration, Analytics, Governance). Own end-to-end data lifecycle, operationalize governance and quality, partner with business and AI/ML teams, ensure data security/privacy compliance, and build high-performing data organizations to drive business outcomes.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

The AI Financial Planning Analyst reviews and improves financial guidance from AI systems, works across teams to enhance member experiences, and ensures compliance with regulations.