Top Remote Analysis Reporting Jobs in Dayton, OH

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The Pricing Analyst will analyze market data, assist in RFP processes, collaborate with the Business Development team, and provide detailed recommendations to improve pricing strategies and customer solutions.

Design, build, and maintain scalable BI solutions and Power BI dashboards for CRM performance and lifecycle analytics. Integrate AEP, RTCDP, and CRM data, ensure data quality and governance, automate reporting across brands/markets, support attribution and migration to cloud, and collaborate with cross-functional teams to deliver actionable marketing insights.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.