Top Data & Analytics Jobs in Dayton, OH

Build and maintain automated ETL/ELT data pipelines, improve data quality and monitoring, optimize Postgres and BigQuery schemas and queries, develop internal tooling, support data governance (HIPAA), participate in on-call rotation, and collaborate across engineering teams to scale data systems.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Data Architect, you will define and implement data architecture solutions, collaborate with stakeholders, and design data platforms and pipelines to enhance data management and analytics capabilities.

The Consultant supports public health stakeholders by transforming complex data into accessible visualizations and communication materials, while leading client engagements and advising on data strategies.

The Deploy Engineer will onboard clients onto Ometria's product, ensuring data integration, validation, and client training, while maintaining platform reliability and establishing strong client partnerships.

Build and maintain scalable ETL pipelines, design schemas and dbt models, document workflows, ensure data quality, and collaborate with analysts to support reporting and campaign measurement.

The Analytics Engineer will design, build, and maintain scalable data models, collaborating with various teams to ensure data quality and robust reporting, mainly using dbt and SQL.

The Senior Geospatial Analyst performs advanced geospatial analysis, ensuring data integrity and quality, while supporting mission partners with actionable geospatial products. Responsibilities include data validation, quality control, metadata development, and stakeholder collaboration, along with mentorship of junior team members.

Analyze market and live data to set dynamic ticket prices using Uptick, build strategic pricing recommendations, communicate with clients about strategy and performance, and collaborate with BI and engineering to improve product performance.