Data analyst jobs in Chicago, IL

About the role

The Data Analyst II will support implementation, administration, configuration, and deployment of analytic information systems, products, and services. Participates in projects of varying sizes and complexity as they relate to analytic product development and analytic information systems. Works with clinical, research, and operations areas to analyze, communicate and validate requirements for analytic applications and products. Participates in synthesizing, analyzing and summarizing data to support institutional processes and promote organizational improvement. The Data Analyst II will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute The Data Analyst II will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties.

What you'll bring

• Bachelor’s or Master's degree in Data Science, Social Science, Computer Science, Information Systems, Engineering or related field.
• Work experience and/or Industry Certifications can replace traditional educational requirements.
• Minimum of 4 years of related, external experience or 2 years related institutional experience at Shirley Ryan AbilityLab.
• Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine learning, artificial intelligence, data visualization, databases, Enterprise Data Warehouses, data models and pipelines) and continues developing professional expertise.
• Experience and/or expertise in one or more of the following: Statistical & Machine Learning modeling
• Data Visualization & Dissemination
• Analytics Engineering & Architecture
• Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data Strategist).
• Quality/Performance Improvement Methods
• Clinical Informatics
• Research Analytics
• Research Methods.