Top Data & Analytics Jobs

The Manager of Quant Research will lead analytics efforts, collaborating with cross-functional teams to develop decision analytics, translate business needs into insights, and enhance analytical systems and tools.

The Sr. Business Systems Analyst administers financial systems, gathers requirements, analyzes data, optimizes processes, and ensures effective communication with stakeholders while managing system enhancements.

The Business Systems Analyst supports enterprise financial systems' administration, enhancement, and operations, ensuring accuracy and compliance while collaborating with stakeholders and providing user support.

The Associate Director of Market Intelligence leads market insights using primary research and AI analytics to guide strategic decisions and cross-functional alignment within the organization.

The Business Intelligence Analyst will collaborate with cross-functional teams to develop reporting infrastructure, perform analytical modeling, and drive insights for business performance.

Lead the CRM analytics strategy, manage a small team, optimize marketing campaigns through data insights, and collaborate cross-functionally to enhance customer engagement.

The Customer Data Platform Engineer will design and optimize scalable data solutions, focusing on Snowflake integration, data pipelines, and ensuring data governance and security compliance.

The IT Architect will design, implement, and maintain Oracle EPM solutions, overseeing integration with ERP systems, managing teams, and ensuring alignment with business needs.

Lead Analysts Applications at Tyson Foods elicit business requirements, enhance WMS and LMS, support technical integrations, and improve processes while ensuring quality support and collaboration with stakeholders.

The Business and Systems Analyst III role focuses on enhancing Oracle Cloud EPM and ERP platforms to improve financial planning and reporting, collaborating with stakeholders to implement solutions, and optimizing system performance.

The SVP of Actuarial Engineering will build actuarial analytics products, operationalize models, and translate outputs into executive presentations. Responsible for enhancing analytics tools for client executives and collaborating with engineering teams.

The role involves designing and deploying analytics applications, building data pipelines, collaborating across teams, and operationalizing statistical models to enhance client delivery in commercial insurance.