Top Analysis Reporting Jobs in Dayton, OH

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

The Data Analyst will ensure data quality through checks and reconciliations, assist with reporting and automation, and communicate findings effectively.

Lead the data engineering and analytics team, overseeing data processing for utility bills, building data strategies, and ensuring data quality while promoting evidence-based decision-making across the organization.

The Head of Strategy, Analytics, and Optimization will lead analytics efforts in simplifying agricultural lending processes, focusing on risk management, automation, and business growth. Responsibilities include developing models, overseeing teams, and ensuring adherence to regulations.

As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.

Lead finance partnership with North America Global Markets team, analyzing business problems and influencing teams to drive growth through performance measurement and insights.

As a Senior Data Scientist, you will lead data initiatives by setting goals, architecting data models, enhancing data quality, and mentoring team members to drive impactful business decisions at SmithRx.

The Analytics Engineer will develop and manage dbt models and SQL queries, collaborate with stakeholders, ensure data quality, and support data analysis. They'll translate business needs into technical data solutions and maintain clear communication with diverse teams.

As a Business Analyst, you'll enhance operational performance by analyzing data, ensuring compliance, and providing actionable insights to improve member experience.

Lead consent data solutions focusing on privacy, governance, and compliance. Oversee strategic direction, team leadership, and enterprise partnerships while driving scalable data initiatives.