Top Remote Data & Analytics Jobs in Dayton, OH

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Design and build interactive dashboards and visual analyses of health, personnel, and operational data (Tableau, SAS) to support Air Force medical readiness. Prepare reports, present findings, collaborate with epidemiologists and stakeholders, and support data integration and visualization for decision-making.

Provide subject-matter expertise in statistical analyses of Air Force health data: design and execute studies, develop datasets and models using SAS EG, validate models, draft technical documentation, present findings, manage analytical projects, support data architecture and access, and ensure adherence to USAFSAM and HIPAA standards.

Collects, analyzes, and interprets complex data to support business decisions. Develops databases, data systems, processes, models, algorithms, dashboards, reports, and visualizations. Collaborates with business stakeholders, data scientists, and IT teams to solve business problems using statistical methods. Keeps current with analytics tools, technologies, and industry trends.

Develop and maintain business intelligence solutions, dashboards, reports, data models, ETL processes, and data warehouses using tools such as Tableau, Power BI, and QlikView. Collaborate with business stakeholders, analysts, and IT teams to support decision-making. Ensure data quality, integrity, and security while staying current with emerging BI technologies and methodologies.

Designs, implements, maintains, secures, and optimizes database systems. Develops architectures, data models, and schemas; manages backup and recovery; troubleshoots corruption and performance issues; and collaborates with development, QA, and operations teams. The role also requires staying current with database technologies and best practices.

Conduct quantitative and qualitative research, analyze complex business scenarios, gather requirements, and synthesize stakeholder perspectives into actionable recommendations. Evaluate data using tools such as Excel or SQL, identify process improvements, and produce clear reports, memos, business cases, and documentation. Collaborate with stakeholders through written communication and contribute analytical content to help train AI systems.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.