Top Data & Analytics Jobs in Cincinnati, OH

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Responsible for supporting and enhancing Oracle ERP and EPM financial processes, ensuring accurate reporting and collaboration with finance teams.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

Responsible for designing, developing, and maintaining databases and ETL systems, collaborating with stakeholders, and optimizing data integration processes.

The Associate Technical Architect will design and implement data solutions on AWS, focusing on data lakes and analytics, while collaborating with distributed teams.

The Director of Analytics & GTM Systems leads analytics and systems functions, driving data-informed decisions and overseeing teams. They enhance operational efficiency, implement AI solutions, and align strategies with stakeholders, creating impactful business capabilities and fostering decentralized decision-making.

Develop enterprise data platforms and data pipelines, integrate systems, manage CI/CD and IaC strategies, and coach junior engineers.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The role involves leading the enterprise strategy for data analytics and technology modernization, driving data-driven decision making, and managing digital transformation initiatives while building a high-performing team.

The Data Analyst in the pharmaceutical industry analyzes healthcare data, providing actionable insights through SQL transformations, statistical analysis, and data visualization. Responsibilities include metric validation, exploratory data analysis, and collaboration with cross-functional teams to deliver business insights.