Top Artificial Intelligence Data & Analytics Jobs

The Geospatial Data Specialist will manage structured datasets, discover and catalog data, and monitor data storage and AI queries, working directly with clients.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The Analytic Consultant provides strategic analytics support to clients, analyzing health plan performance and communicating insights to stakeholders while serving as a subject matter expert.

The Senior Associate will leverage financial planning and risk management expertise to analyze models, perform investment performance analysis, and enhance strategic planning by managing portfolio risks. Requires a Master's degree and relevant experience in quantitative financial modeling, with a focus on optimizing data processes.

Responsible for managing all data management activities for clinical studies, including data collection, cleaning, reporting, and validation, while ensuring regulatory compliance and quality data delivery.

As a Decision Analytics Consultant, you will manage analytics projects, mentor junior team members, and develop insights for client strategies using data modeling and analysis.

The Senior Director will design and govern the enterprise-wide data architecture, lead the analytics team, and ensure data reliability for scalable decision-making across various functions.

Lead the Morningstar Investor Perspectives market research program by coordinating with stakeholders, managing projects, analyzing data, and providing actionable insights.

Lead Data Product Management for G&A functions, shaping strategy, coordinating execution, and establishing practices within Finance, HR, and IT sectors. Engage stakeholders, ensure data quality and governance, and manage team growth while directly overseeing product delivery.