Top Analytics Jobs in Cincinnati, OH

As a Senior Data Analyst in Marketing, you will analyze marketing data, track performance trends, develop models, and communicate recommendations to support strategic decisions.

The Actuary analyzes financial data to forecast performance, ensures data integrity, advises on strategies, and supports business intelligence needs.

Manage and mentor a team of analysts and data scientists, develop analytics strategies, own analytics projects, and promote data-driven culture.

The Client Analytics Manager will manage client relationships, oversee data integration processes, coordinate between teams, and deliver analytics reports.

The People Analytics Partner collaborates with HR and business leaders to provide data-driven insights and recommendations for talent decisions and survey strategies.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Data Analytics Associate will analyze healthcare data, manage research projects, and support customer engagements using analytics tools to drive insights.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

Lead a data analytics team to provide insights for product strategy, improve analytics capabilities, and foster a data-driven culture.

The Global Strategic Feasibility Analytics Lead develops feasibility data analytics initiatives, transforms data into insights, collaborates with stakeholders, and drives data-driven decision-making for study planning.

The Partner Performance Manager analyzes and optimizes partner performance using data, identifies growth opportunities, and collaborates with stakeholders to enhance partnership strategies.

Lead Neo4j's PLG Marketing analytics strategy, turning data into insights to enhance user acquisition, activation, and monetization through reporting frameworks and analytical models.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The Analytics Intern will assist in designing and developing an internal analytics tool, focusing on data extraction, transformation, and visualization to enhance decision-making for internal stakeholders.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

Seeking a Principal Analytics Leader to drive value measurement and savings analytics in healthcare, collaborating with various teams to influence decisions and outcomes.

As a Technical Consultant in Data & Analytics, you'll lead process improvements and technical delivery, guiding clients in optimizing Salesforce solutions and data governance.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.