Top Senior Data & Analytics Jobs in Cincinnati, OH

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

As a Senior Analyst, you will transform marketing data into actionable insights, manage analytics requests, and optimize data-driven marketing strategies to influence customer retention and lifetime value.

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The Data Architect will modernize the data ecosystem, design data pipelines, ensure data governance, and align data strategies with business needs to enhance analytics capabilities.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

The Principal Biostatistician leads RWD studies, mentoring biostatisticians, preparing statistical plans, reviewing data, and ensuring high-quality project completion. Requires RWD experience and a PhD.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Data Architect analyzes complex data sets using SQL, supports regulatory compliance, develops reports and dashboards, and ensures data quality for risk management in financial services.