Top Data & Analytics Jobs in Dayton, OH

The Forward Deployed Data Engineer at ZoomInfo designs and delivers custom intelligence applications for strategic accounts, managing engagements end-to-end and collaborating with various teams to optimize data solutions.

The Senior Azure Data Platform Engineer manages Azure SQL databases and Data Factory operations, ensuring stability and performance in a complex environment. The role involves troubleshooting, automating processes, and engaging with clients while leading data load ownership initiatives and enhancing operational practices.

The Senior Finance Analytics Engineer designs dbt models, collaborates on metrics with finance teams, and enhances data for AI consumption while maintaining SOX compliance.

The Business Analyst serves as a liaison between product teams and users, handling requests, creating documentation, and ensuring effective communication and issue resolution.

The Head of Data Science - Fraud Insights will lead research on fraud analytics, design predictive studies, manage a team, and communicate findings to influence strategy and policy.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

Design and enhance actuarial pricing models and tools, perform account- and portfolio-level pricing analyses (initially Casualty), partner with underwriting/finance/claims/reinsurance, lead onboarding and ad hoc initiatives, mentor junior analysts, and monitor portfolio performance to inform pricing and product strategy.

Lead and execute the company data strategy; design and maintain scalable data models and warehouses; drive ETL implementation; enforce data governance; provide analytics and insights to cross-functional teams; manage budgets, hiring, and team development; monitor performance and adopt emerging data technologies to optimize operations.

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.

As a Data Engineer, you will build and maintain data pipelines, convert data into metrics, and operate the platform on AWS. Responsibilities include writing production code, processing data from APIs, and enhancing the orchestration layer using Dagster, while ensuring compliance in a HIPAA-regulated environment.