Top Analytics Jobs in Chicago, IL

As an Advanced Analytics Analyst at Conagra Brands, you will develop advanced data and analytics products using SQL and create data visualizations. Your role involves troubleshooting systems, maintaining process improvements, documenting requirements for analytics products, conducting end-user training, and collaborating on KPIs while adhering to best practices. Travel up to 30% is required for this position.

The Research Executive role involves managing all phases of market research projects including design, fieldwork, analysis, and reporting. The position requires collaboration with clients and team members to develop actionable insights and solutions through both quantitative and qualitative methods.

This role supports portfolio managers in alpha research, modeling, and implementing quantitative trading strategies, while building and maintaining research tools and systems.

The Security Analyst at Sertifi will ensure compliance with security standards, analyze policy impacts, manage risk assessments, remediate control gaps, oversee ongoing compliance processes, support vulnerability management, assist with audits, provide security expertise, and promote cybersecurity awareness across the organization.

The IT Business Analyst will gather and document business and technical requirements, ensure effective communication between stakeholders and development teams, facilitate meetings, manage priorities, support the SDLC process, and perform testing to ensure quality deliverables.

The Senior Analyst will assist in loan sizing, packaging quote narratives, and organizing due diligence for multifamily transactions. Responsibilities include data input for capital sources, managing pipeline reports, and coordinating marketing efforts. The role requires communication with clients and various stakeholders, property tours, and participation in production meetings while maintaining accurate entries in Salesforce.

The Data Engineer will develop and deliver enterprise applications focusing on data integration and analytics. Responsibilities include building scalable data processing pipelines, supporting data integration, and improving internal data capabilities. The role requires collaboration with IT and business teams to manage data issues and define data architecture strategies.