Top Data & Analytics Jobs in Chicago, IL

The Mid Office Analyst at IMC will be responsible for driving trade reconciliation, resolving discrepancies, managing accounts, and calculating P&L. This role involves collaborating with IT and trading teams to ensure accurate trade flow and improve processes within a fast-paced environment. Additionally, the analyst will create reports and work on automation solutions to enhance efficiency.

The Machine Learning Engineer will develop distributed training pipelines, optimize low-latency inference pipelines, and work on GPU acceleration for ML models. They will collaborate with researchers and engineers to enhance model performance and evaluate third-party tools, ultimately influencing trading strategies through advanced machine learning solutions.

The Principal Data Management role involves designing and implementing a comprehensive enterprise data management and governance program. Responsibilities include collaborating with data governance groups, managing data quality, and building relationships with vendors and experts to enhance data governance practices.

The Data Science Analyst will execute analytical initiatives by developing reports and dashboards, generating insights through analytics, and identifying opportunities for improvement. The role involves managing risks and communicating business performance to management, as well as applying techniques like customer segmentation and predictive analytics to solve business problems.

The Data Engineer designs, develops, tests, and maintains complex data solutions, while mentoring peers. They manage risks, troubleshoot data integration solutions, implement data governance, and lead code reviews. The role involves agile practices, collaboration with teams, and knowledge of various tools to enhance data reliability.

The Manager, Data Integration and Modernization will lead teams to create scalable data products and platforms, driving data strategy and modernization of tech stacks. They will collaborate with various teams to identify automation and machine learning opportunities while managing full-stack development and delivering data-driven solutions that provide business value.

As a Senior Data Scientist, you will collaborate on developing analytic solutions for clients, lead projects from design to implementation, and deliver insights through predictive and prescriptive analysis. You will engage with cross-functional teams to drive initiatives while managing multiple projects effectively, providing oversight in analytic solution development using programming languages such as R and Python.

As a Decision Analytics Associate Consultant, you will develop advanced statistical models and leverage analytic techniques to inform decision-making for Health Plan clients. You'll design analyses using tools like R and Tableau, synthesize results for presentation, maintain client relationships, and mentor associates, all while advancing ZS's problem-solving capabilities.

The Data Analytics Consultant, Claims at CNA is responsible for designing, analyzing, and modeling data to provide insights and support the management of business operations. This role involves building dashboards, interpreting data trends, and collaborating with other analytical teams. The consultant will report findings and recommendations to senior consultants and management.

The Sr. Manager will lead R&D teams to develop machine learning algorithms for driver behavior detection using smartphone sensor data, ensuring successful model deployment and managing key stakeholder relationships.