Top Senior Data & Analytics Jobs in Cincinnati, OH

Manage web analytics strategy and implementation at Twilio, ensuring data integrity and delivering actionable insights through collaboration with cross-functional teams.

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 Manager of Clinical Analytics leads data analytics initiatives for healthcare, focusing on improving clinical outcomes and performance metrics. Responsibilities include guiding teams, developing analytics capabilities, ensuring accurate reporting, and fostering collaboration between technical and non-technical stakeholders.

The Data Architect will lead database management, conduct data analysis, and work with stakeholders to align data requirements with business objectives.

The Director of Data & Analytics will lead the analytics function, align data strategy with growth objectives, ensure data quality, and develop talent in the data team.

The Senior Analyst will support fundraising data-driven decisions, develop KPIs, analyze campaigns, and collaborate on revenue forecasting through data modeling, analysis, and reporting.

The role involves building and leading a privacy team, managing Privacy Impact Assessments, establishing privacy risk management programs, and advising on privacy principles and mitigation strategies.

The Director of Business Operations oversees marketplace performance analysis, developing metrics and insights, and collaborating across teams to enhance strategy and decision-making.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.