Top Remote Analysis Reporting Jobs in Cleveland, OH

The Lead Quantitative Analytics Associate conducts statistical analyses and builds predictive models, responding to business needs and enhancing existing models. They work with large datasets, ensuring data management and model maintenance, while communicating insights effectively within the organization.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

The Director will oversee data governance, optimize audience engagement, and develop revenue-focused strategies while managing cross-department initiatives.

The Business Systems Specialist will support data conversion, collaborate with IT and Operations teams, and ensure successful data integration across various business lines.

The Infor Syteline Implementation Business Analyst will analyze business needs, manage project requirements, and collaborate with IT for system enhancements and training.

The Pension Actuary supports actuarial analysis, develops reports, evaluates programs, manages projects, and facilitates client discussions while interpreting regulations.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Data Analyst will elevate decision-making through data insights, manage datasets, design dashboards, and lead cross-functional projects to optimize operational performance within the Fintech sector.

The Data Engineer will build and maintain data pipelines, ensuring high-quality and scalable data systems while working on analytics and machine learning accessibility.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

Lead risk modeling initiatives from data exploration to deployment, defining methodologies, advising clients, and integrating models into platforms.