Top Artificial Intelligence Data & Analytics Jobs

The Quantitative Methodologist will design statistically rigorous studies, apply advanced analytics, interpret results, ensure quality, and communicate insights to clients.

The Senior Quantitative Analyst will develop methodologies to enhance equity ratings, create analytical tools, and collaborate with stakeholders globally, requiring strong Python skills and over 5 years of experience.

The Senior Manager will oversee the end-to-end Lead-to-Opportunity lifecycle, manage a technical team of Salesforce Developers and BSAs, and ensure system scalability and accuracy while fostering a collaborative culture.

The IT Business Process Analyst implements AI use cases, develops metrics for productivity, analyzes processes, and improves performance using Agile methodologies.

The Senior IT Solutions Analyst will deliver IT solutions for procurement applications, collaborating with stakeholders, performing data analysis, and leading application delivery with a focus on cloud technology.

The Senior Associate in Data Analytics & Insights will analyze complex problems, mentor team members, and translate requirements into actionable specifications, primarily in the healthcare domain.

This role involves overseeing data engineering applications, mentoring junior staff, analyzing complex issues, and fostering collaboration with stakeholders to achieve business insights and optimize data processes.

Lead the design and development of data governance initiatives at New York Life, managing a team to enhance data discoverability and compliance through metadata management and enterprise data catalog systems.

The Data Governance Engineer advances data governance initiatives, focuses on metadata cataloging, lineage harvesting, and governance workflows, and collaborates on data quality and compliance.

The Data Governance Analyst will design and implement data governance practices, maintain metadata, and enhance data quality and compliance, collaborating with teams across the enterprise.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

As a Meteorologist, you will use forecasting tools to identify weather events impacting clients, communicate weather information, partner with analysts, and support customer webinars, all while working with a flexible schedule in a fast-paced environment.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.