Top Remote Data & Analytics Jobs in Chicago, IL

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

Contract BI Data Visualization Specialist responsible for building and maintaining user-friendly dashboards, reports, and presentations for marketing stakeholders. Must have 2-3 years of experience as a data analyst with expertise in Tableau and SQL. Strong analytical skills, familiarity with digital marketing platforms, and excellent communication abilities are required.

The GRC Analyst will be responsible for implementing and maintaining the Information Security Management System (ISMS), ensuring compliance with security standards like ISO 27001 and GDPR, leading audits, managing information security policies, and coordinating responses for vendor security assessments.

The Revenue Operations Analyst will manage day-to-day CRM operations and support the sales and customer success teams. Responsibilities include ensuring smooth sales-to-customer success handoffs, maintaining data accuracy, managing operational support tickets, contributing to sales projects, collaborating on customer success initiatives, and optimizing processes through documentation and team training.

Seeking an Operations Analyst to support Program Management for Navy initiatives including payroll, data conversion, training, and testing for ERP systems. Responsibilities include project management, writing assignments, training support, development of policies and procedures, risk mitigation, data validation, and process automation. Requires a Bachelor's degree and a minimum of 10 years experience in data analysis, statistical analysis, financial analysis, or public affairs with knowledge of Federal Budget Process and Navy POM.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.

The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.