Top Data & Analytics Jobs in Dayton, OH

The Senior Director leads strategic data and analytics initiatives, fosters collaboration, drives governance compliance, and advocates for Healthcare Analytics Solutions within the organization.

The Lead Quantitative Analytics Associate conducts statistical analyses and builds predictive models, responding to business needs and enhancing existing models. They work with large datasets, ensuring data management and model maintenance, while communicating insights effectively within the organization.

The Product Analyst III manages state profitability, executes pricing actions, collaborates cross-functionally, conducts market analysis, and prepares regulatory filings while supporting product strategies.

The State Manager at General Motors Insurance leads auto insurance product strategy for new and existing states, ensuring compliance and profitability while managing cross-functional teams and analyzing performance metrics.

Design, develop, and maintain ETL solutions using Informatica PowerCenter. Collaborate with business analysts, optimize ETL processes, and ensure data quality.

Develop and maintain ETL solutions, optimize processes, validate data, and support production issues. Collaborate with analysts for efficient data integration.

The Director of Business Intelligence is responsible for delivering insights that enhance client value, drive business growth, and improve operational efficiency by developing frameworks and data-driven solutions for benchmarking and survey strategies.

The Associate Director will lead economic modeling projects, manage teams, and engage in business development, focusing on innovative healthcare therapies.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

The Sr. Product Analyst will identify growth opportunities through user data analysis, manage A/B testing, enforce statistical rigor, and create dashboards to support the Growth team.

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.