Top Software Data & Analytics Jobs in Chicago, IL

The Senior Database Developer will design, optimize complex T-SQL solutions for large databases, ensuring performance and compliance in cloud-native architectures while leading documentation and best practices.

The Senior Business Analyst will analyze business challenges, model product strategies, support marketing efforts, and enhance credit risk through strategic recommendations and analytics, collaborating across departments.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

The Data Analyst will evaluate data flow, develop solutions, communicate findings, create data visualizations, and ensure timely project completion.

The Analyst will support identity and KYC risk strategies, enhance fraud detection, collaborate with teams to implement risk controls, and analyze trends for improvements.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

The Knowledge Systems Architect will design systems for knowledge organization, automate documentation processes, and enhance knowledge artifact legibility to support AI effectiveness in the R&D environment.

As a Senior Forward Deployed Accountant, you will architect and automate accounting processes, engage with CFOs, troubleshoot technical issues, and drive AI-driven transformation across enterprise accounts.

The IT Business Systems Analyst drives business value through technology, analyzes IT projects for ROI, develops performance metrics, supports portfolio management, leads IT projects, and manages procurement processes.

As a Senior Business Intelligence Engineer, you will design and maintain reporting solutions, architect ETL pipelines, and implement AI use cases while collaborating with stakeholders across various business units.