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Top Data & Analytics Jobs in Chicago, IL
The role involves designing and implementing the Enterprise Risk Management Policy and Framework, developing reporting dashboards, enhancing risk management practices, and performing data analysis to support business needs. It requires collaboration with business and risk partners, oversight of risk management routines, and effective presentation skills for committee reporting.
The Supplier Maintenance Analyst is responsible for reviewing and approving supplier documentation, ensuring compliance with IRS reporting, and maintaining supplier data in the Oracle ERP system. The role includes executing IRS filing, validating banking information, providing customer service, and collaborating with partners to resolve supplier setup issues.
The Reliability Compliance Analyst will support Invenergy’s Compliance program by ensuring adherence to NERC and IESO regulatory standards. Responsibilities include collecting technical data, evaluating compliance statements, collaborating with internal teams, and managing program evidence. The role emphasizes attention to detail and technical writing skills.
The Senior Staff Data Engineer will design and build data pipelines and products within the Customer Information Management team, integrating complex data sets for analytics, mentoring junior engineers, and collaborating across teams to implement data engineering best practices.
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Quantitative Researchers at Belvedere Trading conduct analytical research and develop mathematical models for options pricing and trading methodologies. They collaborate with trading and technology teams to enhance operations and generate quantitative strategies by applying various statistical techniques to financial data.
The Desktop Support Analyst manages and supports desktop systems for local and remote users, providing comprehensive support via multiple channels. Responsibilities include provisioning and maintaining desktops, laptops, and printers, automating processes using configuration management tools, developing standards, documentation, and occasionally working outside regular hours to minimize disruptions.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
As a Global Services Data & Business Analyst, you'll assist the Global Services Business Intelligence & Operations team by conducting quantitative analysis, developing key performance indicators, creating data visualizations in Tableau, and collaborating with various stakeholders to outline project milestones. Your role involves ensuring data accuracy and integrity, as well as automating reports.
As a Data Scientist II at Grubhub, you will develop and enhance predictive machine learning models for delivery estimation and driver pay, collaborate with cross-functional teams, innovate using advanced tools like AWS and XGBoost, and contribute to MLOps excellence to improve operational metrics.
As a Staff Data Engineer, you'll lead data infrastructure projects, designing and developing cloud-native data pipelines and services. You'll oversee data integration, governance, and promote best practices in software craftsmanship. The role includes mentoring junior engineers and collaborating with business partners to align technical efforts with strategic goals.
As a Research Analyst in Middle Market Banking and Specialized Industries, you will analyze macroeconomic data and capital markets trends, create presentations summarizing research views, and write summaries and industry reports. The role requires excellent communication skills and attention to detail in a fast-paced environment.
The Senior Data Scientist will lead analytic projects, partnering with internal and external teams to deliver predictive models and business intelligence solutions. Responsibilities include project ownership from design to implementation, providing insights through presentations, and developing analytic solutions using programming languages. Experience in financial services and the insurance industry is desired.
The Senior Machine Learning Engineer at Capital One will design and implement machine learning models and systems, collaborate with cross-functional teams, optimize ML applications, and ensure high performance and availability of deployment. Responsibilities include data pipeline construction, ML model monitoring, and leveraging cloud technologies.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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