Top Senior Data & Analytics Jobs in Cincinnati, OH

The Analytics Engineer will oversee the analytics foundation for advertiser reporting, ensure metric consistency across campaigns, and work with various teams to manage metrics and data models for the expanding ad platform.

The role involves analyzing sales and marketing data, managing reporting, and developing insights to support global revenue operations. Requires strong analytical skills and experience with Salesforce, SQL, and BI tools.

The Senior SEO Data Analyst will analyze SEO performance data, identify trends, provide insights for product strategy, and support data quality improvements across teams.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Senior Revenue Strategy & Planning Analyst will focus on planning, forecasting, compensation modeling, quota setting, and capacity planning to align with business growth objectives. They will analyze performance trends and support revenue operations initiatives across Sales and Customer Success teams.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

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.