Top Data & Analytics Jobs in Cleveland, OH

As an Associate Strategy Director, you will lead data-driven client engagements, strategize business growth, mentor teams, and navigate complex challenges using a Hypothesis-Driven Approach.

Use EHRs and BI tools to collect, analyze, visualize, and report quality and performance improvement data. Develop Power BI dashboards, identify trends/outliers, analyze incident reports, and support compliance reporting (Joint Commission, CARF, HIPAA, HRSA).

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Senior leader responsible for strategy, architecture, and execution of enterprise data engineering. Build and lead a 10-15 person team, design scalable data platforms and pipelines (cloud-native), drive governance, ensure AI/ML-ready data, manage delivery, vendors, SLAs, and M&A integration.

The Senior Data Architect leads architecture decisions for product initiatives, modernizes analytics assets, and ensures solutions meet business objectives while aligning with enterprise standards.

The Business Analyst collaborates with stakeholders to analyze processes, gather requirements, drive system enhancements, and improve operational efficiency through data-driven insights and reporting.

The Data Science Analyst will analyze healthcare data, derive insights, collaborate on product design, and document business requirements while supporting revenue cycle optimization efforts.

Lead modernization of the enterprise data platform and build scalable ETL/ELT pipelines using SQL, Python, Talend, and Databricks. Drive migration from DB2/SQL Server to Databricks, set data quality, observability, and lineage standards, design data models, contribute to CI/CD and IaC practices, and mentor junior engineers while partnering with analytics, product, and business stakeholders.

The BI Engineer will design and develop dashboards, optimize reporting, partner with stakeholders for insights, and manage BI platforms, ensuring data consistency and enhancing analytics capabilities.

The Quantitative Analyst II develops complex financial models for product lifecycle management, utilizes programming languages for data analysis, and collaborates with stakeholders to improve financial strategies and compliance.