Top Analytics Jobs in Columbus, OH

The Data Engineer will manage the end-to-end data pipeline, focusing on data modeling, visualization, and quality. Responsibilities include designing processes for operational efficiency, mentoring junior analysts, and employing best practices to enhance data consistency, particularly in blockchain data contexts.

The Sr. Risk Analyst at Lithic will analyze data to provide insights into current and potential risks, develop and refine risk policies and dashboards, and collaborate with cross-functional teams to improve risk control strategies. The role involves monitoring performance metrics and supporting risk assessments and audits.

The Treasury Quantitative Expert leads the development and execution of quantitative models for managing credit risk, interest rate risk, and liquidity. This role involves preparing and analyzing large datasets, implementing models in production, ensuring regulatory compliance, and mentoring less experienced analysts.

The Senior GRC Analyst will oversee security compliance initiatives, conduct risk assessments, manage security documentation, audit 3rd party vendors, and support external audits. Strong communication skills and the ability to collaborate with cross-functional teams are essential.

As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.

As a Senior Data Analyst at Wave, you will analyze user and merchant behavior, assess the impacts of product features and partnerships, and derive insights to enhance growth. Collaborating with product and operations teams, you will design and implement experiments, manage the analytics process, and help improve data infrastructure.

The SVP will lead the Data, AI, and Automation organization, driving a strategic transformation across global operations. They will develop and implement a comprehensive AI and data strategy, collaborate with cross-functional teams to integrate solutions, and ensure performance measures align with business outcomes, emphasizing digital innovation and talent development.