Top Analytics Jobs in Columbus, OH

The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.

As a Model Risk Analyst, you will develop and implement model risk management practices, validate models, identify potential risks, and support risk mitigation activities. The role involves collaboration with internal teams and customers to ensure models are accurately managed, while tracking and reporting model risk issues regularly.

The Credit Review Data Analyst will manage and analyze credit data for assessments and reporting on risk, quality, and trends, while collaborating with ICR stakeholders to enhance operational processes and data visualization techniques.

The Issue Management Analyst will support the development and continuous improvement of the issue management framework at Flagstar Bank. Responsibilities include maintaining policies, documenting business requirements, performing UAT testing, collaborating with business units, reporting risk trends, and developing training programs.

The Operational Risk Analyst collaborates with the Director of Operational Risk Management to identify, assess, and mitigate operational risks across the organization. They coordinate risk activities, perform risk assessments, prepare governance reports, and maintain relationships with stakeholders.

The Senior Reporting & Analytics Analyst at Children’s Wisconsin will analyze complex business problems, provide technical expertise in workforce analytics and reporting, collaborate with HRIS and Finance teams, train end users, and deliver HR-related reports and tools.

The Process Characterization and Technology Scientist will support the Downstream Investigations Team focusing on raw materials. Responsibilities include troubleshooting processes, leading lab studies on manufacturing processes, analyzing data, and preparing technical documents. The role involves working in a biotech lab environment to enhance process knowledge and support medicine production.

The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.