Top Analysis Reporting Jobs in Cleveland, OH

Lead design and expansion of a unified analytics data platform integrating Medicare claims, clinical systems, and vendor feeds. Implement AI-augmented data engineering (LLM coding assistants, automated QA, autonomous data-quality agents), build validation/reconciliation/audit infrastructure, partner with analytics teams for reporting and modeling needs, and drive large-scale analytics platform and web app implementation while collaborating with IT on security and deployment standards.

The Head of Data will build and manage a centralized data hub, integrating infrastructure and governance to support AI transformation, while driving measurable business value through strategic data initiatives and strong team leadership.

The Reports Analyst role involves gathering, cleaning, and analyzing data, while training staff and providing insights to support business strategies.

The Senior Data Migration Specialist ensures smooth data migration for clients from prior CRMs into AgencyBloc, focusing on data mapping, validation, and documentation.

Lead the design and implementation of analytics solutions, manage Adobe Analytics migrations, ensure data governance, and deliver cross-channel insights for customer journey optimization.

The GIS Analyst will analyze spatial data, build web GIS applications, manage projects, mentor junior staff, and ensure data quality using Esri technologies and Python.

The FHIR Architect will lead data mapping for CMS interoperability, design FHIR-based data models, and mentor a team in healthcare data standards integration.

The Looker Data Engineer will build and optimize data models, develop reporting solutions, and support data-driven decisions using Looker and other technologies.

The Director, FR Rating Capability Analyst will design and enhance scoring operations analytics for AP exams, ensuring data-driven insights improve scoring quality and efficiency.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.