Top Hybrid Data & Analytics Jobs in Chicago, IL

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

The Digital Business Analyst will collaborate with stakeholders to gather requirements, develop specifications, support implementation, and ensure solutions meet business needs, specifically using Salesforce platform expertise.

Lead enterprise external fraud analytical tools validation by designing and executing validation framework and projects, assessing tool risk and quality, prototyping industry best practices, communicating findings, and coaching junior staff. Partner cross-functionally to influence business strategy and ensure validated, well-governed analytical tool usage.

The Manager of Ontology and Data Modeling develops and maintains ontologies, collaborates across teams, supports semantic technology integration, and manages teams focused on data modeling to achieve enterprise initiatives.

As a Senior Business Analyst, you will analyze payment strategies, support business development efforts, and collaborate with cross-functional teams to drive decisions and improvements.

The Business Intelligence Analyst at Zoro.com builds and maintains data models, dashboards, and ensures data accuracy while leveraging AI tools for insights. They're key in supporting data-driven decisions across various departments by collaborating with stakeholders and implementing best practices.

As a Biostatistics Summer Associate, you will conduct causal inference analyses, collaborate in projects, and apply statistical knowledge in real-world settings.

The EDI Analyst designs, implements, and supports EDI systems, manages integrations, and resolves issues, enhancing data exchange efficiency.

The role involves translating privacy and compliance requirements into specifications, supporting governance and compliance for marketing technology, conducting validations, and collaborating with various stakeholders.

The Data Scientist role focuses on developing analytic solutions for financial services clients, involving programming, statistical analysis, and project management to address credit risk and business intelligence needs.

Work with internal and client teams to design and implement data-driven technology solutions. Apply SQL, Python, and data platform knowledge to process structured/unstructured data, build BI and engineering artifacts, communicate findings to stakeholders, and adapt to new tools and architectures while supporting client-facing delivery.

As an Execution Quantitative Researcher at PEAK6, you will analyze algorithm performance and collaborate with engineers to optimize electronic execution algorithms for trading.