Top Data & Analytics Jobs in Dayton, OH

Monitor and optimize programmatic advertising campaigns using real-time and historical data. Diagnose performance issues, design and evaluate A/B and multivariate tests, collaborate with AdOps, Product, and Data Science to operationalize ML-driven optimization, and help evolve manual campaign management into automated decisioning systems to improve revenue and campaign performance.

Design, build, and maintain an internal data platform and pipelines. Ensure secure, governed, resilient data access for engineering and BI teams. Partner with architects, implement automations, support platform consumption, mentor users, and drive continuous improvement and compliance.

Lead statistical strategies for clinical trials, ensuring regulatory compliance and guiding cross-functional teams in statistical methodologies and data management.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, integration, and BI solutions. Oversee delivery, establish standards, mentor teams, support presales, and drive measurable business outcomes across technologies like Oracle, Snowflake, Databricks, and Microsoft Fabric.

Lead end-to-end digital analytics across websites, products, and campaigns: implement and govern event and conversion tracking, ensure data integrity, build dashboards, connect campaign and CRM data to full-funnel outcomes, generate actionable insights, and support AI-enabled reporting and experimentation to improve conversion and user experience.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

As a Senior Marketing Data Scientist, you will conduct quantitative analyses, manage marketing tests, and provide actionable insights to enhance marketing performance and investment effectiveness.

Build and maintain Snowflake data warehouse and ETL/ELT pipelines, integrate data sources (NetSuite, Jira, portals), own BI layer and dashboards (HEX/Tableau/Looker), ensure data quality and governance, partner with leadership to translate operational goals into data models and insights, and support cross-functional analytics and automation.

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

Responsible for supporting and enhancing Oracle ERP and EPM financial processes, ensuring accurate reporting and collaboration with finance teams.