Top Entry Level Jobs in Chicago, IL

The Customer Support Coordinator will liaise between customers and utility companies, ensuring efficient communication and problem resolution while enhancing department processes for scalability and efficiency.

The role involves managing customer inquiries, coordinating with labs, maintaining relationships, and ensuring high customer satisfaction in a healthcare setting.

The Customer Success Associate I responds to customer inquiries, troubleshoots issues, monitors usage trends, collaborates on educational resources, and provides support to enhance client relationships and drive engagement.

As a Solutions Engineer at Dynatrace, you'll provide technical support in customer engagements, demonstrate platform capabilities, and build technical relationships. The role emphasizes collaboration, learning, and growth within a sales environment.

As a Quantitative Analyst, you will analyze and develop trading strategies, conduct research, maintain data sets, and enhance tools for investment decisions.

Support execution, data quality, segmentation, and optimization of marketing automation across Braze and Pardot. Maintain data hygiene, validate audiences, monitor deliverability, run A/B and multivariate tests, coordinate with data engineering for integrations, and ensure campaign readiness and platform consistency.

The Data Analyst will support product managers with testing and validation of analytical models, conduct data analysis for product deployments, and engage in process improvements in data operations.

The Retirement Services Representative assists retirement plan participants and advisors by responding to inquiries, promoting managed accounts, and guiding clients in using Morningstar's services.

Sales Associates connect with customers, provide product information, ensure great shopping experiences, and assist with store operations while maintaining a positive attitude.

Work with internal and client teams to design and implement data-driven technology solutions. Apply SQL, Python, and data platform knowledge to process structured/unstructured data, build BI and engineering artifacts, communicate findings to stakeholders, and adapt to new tools and architectures while supporting client-facing delivery.