Top Analysis Reporting Jobs in Cleveland, OH

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

As Associate Director of Data Strategy, you'll develop data strategies for clients, drive data insights and implement technology for media effectiveness, contributing to overall growth and strategy.

The Data Modeler is responsible for designing and maintaining data models, performing data profiling, supporting BI initiatives, and ensuring governance alignment.

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.

The Data Engineer will design and maintain scalable data infrastructure and pipelines, ensuring data quality and security on Azure, while collaborating with client teams.

Lead clinical data review for studies, ensuring the interpretation of efficacy and safety data, and collaborating with cross-functional teams.

The ClinSpark System Project Manager will develop and manage ClinSpark initiatives, ensure compliance, support continuous improvement, and assist in training staff.

The Senior Business Intelligence Analyst will architect critical analytical frameworks, provide insights for decision-making, and mentor junior analysts while collaborating across teams.

The Analyst will oversee claims audits, ensure compliance with insurer requirements, and analyze loss data to reduce exposure for the company.

The Senior Analyst oversees QC and audits of loss analysis files, ensures compliance with regulations, manages workloads, and assists in technology updates, while serving as a liaison with external clients and internal teams.

As a Senior Data Engineer, you will implement and optimize Google Analytics systems for accurate user behavior measurement across platforms, ensuring scalability and data accuracy.

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.