Top Hybrid Senior Level Data & Analytics Jobs in Chicago, IL

Supervisor-Vendor Relationship Manager focused on delivering excellence in vendor governance and strategic initiatives, utilizing technical skills in Power Platform, data analytics, and project management. Responsibilities include supporting various technology services and managing relationships with service providers.

Responsible for leading the development, maintenance, and communication of business risk reporting, analytics, and risk governance activities. Collaborates with key stakeholders to deliver accurate and timely risk reporting and analytics. Manages and escalates risk issues to management. Ensures compliance with risk reporting procedures and regulatory requirements.

As an Applied AI/ML Lead, you will lead AI/ML initiatives, develop machine learning models, collaborate with various teams, and deploy solutions into production.

The Data Science Consulting Director at CNA Insurance is responsible for leading the development and maintenance of actuarial pricing models across commercial and specialty lines. They collaborate with peers and business partners to influence pricing strategies and ensure successful implementation and maintenance of pricing models. The role involves using statistical and machine learning techniques to solve pricing problems and providing subject matter expertise on predictive modeling techniques.

The Data Modeler - Lead at Caterpillar Inc. will lead teams in data quality, design, metadata management, and governance. They will be responsible for creating data management strategies, ensuring compliance with data standards, and designing scalable databases and ETL solutions.

Senior Consultant role at TransUnion's Marketing Solutions division, focusing on developing analytical and scoring solutions for marketing, risk, and fraud. Responsible for translating client requests into analytical questions, creating custom segmentation and scoring solutions, designing data models, analyzing data assets, and collaborating with product management and data engineering teams.

The Staff Data Analyst will lead data-driven projects, optimize screening processes, collaborate with cross-functional teams, create visualizations, and provide strategic insights to global compliance leadership.