Top Data & Analytics Jobs in Cincinnati, OH

The Solutions Architect will lead the creation of AI-driven tools and data models, partnering with teams to transform complex datasets into actionable insights and developing robust dashboards and frameworks to empower business solutions.

The Head of Data & Analytics will lead a team to develop a data strategy, govern data systems, and deliver impactful insights across the company. Responsibilities include managing analytics and data platform architecture, fostering data-driven decision-making, and ensuring robust analytics infrastructure.

The Data Engineer will design and maintain ETL/ELT pipelines, optimize data processing jobs, and ensure data quality and availability.

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.

The Director of Credit will analyze credit performance, develop credit strategies, collaborate with data science and engineering teams, and present insights to leadership.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The QA Specialist ensures the quality of Federal Salesforce solutions by leading testing efforts, ensuring compliance, and collaborating across teams to meet project objectives.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.

The Senior Data Analyst will support Fraud, Waste, and Abuse programs through advanced data analysis, trend identification, report creation, and cross-department collaboration to improve compliance and operational efficiency.

As an intern, you will develop Python scripts for data cleaning and coding, support Quality Assurance activities, and assist with documentation for Clinical Affairs.