Top Data & Analytics Jobs in Chicago, IL

The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.

The Principal Data Management role involves designing and implementing a long-term enterprise data management and governance program. Responsibilities include developing data quality applications, managing relationships with federated data governance groups, and partnering with external vendors to enhance the program's maturity.

The Data Engineer is responsible for designing, developing, testing, and maintaining complex data solutions. They manage risks, lead code reviews, develop data integration solutions, and participate in agile ceremonies, while mentoring peers and influencing technical decisions across teams.

Lead meetings with cross-functional teams to drive decision-making and alignment on supply forecasts. Set key target levels across supply chain, assess safety stock need, and establish inventory strategy for key items. Develop and execute supply step in Sales and Operations Planning process.

The Sr. Data Product Analyst at Chamberlain Group will collaborate with business partners to develop data-driven solutions, create data models and dashboards, ensure data accessibility, and lead data product adoption. The role involves acting as a subject matter expert in data products and influencing business decisions through data insights.

The IT Customer Experience Analyst will lead the digital adoption initiatives, focusing on improving user engagement with digital services. Responsibilities include managing the 'Go Digital' campaign, ensuring timely execution of action plans, tracking progress, measuring success, and reporting updates to leadership. The role emphasizes user training and minimizing call escalation to customer support.

The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.

As a Global Services Data & Business Analyst, you'll assist the Global Services Business Intelligence & Operations team by conducting quantitative analysis, developing key performance indicators, creating data visualizations in Tableau, and collaborating with various stakeholders to outline project milestones. Your role involves ensuring data accuracy and integrity, as well as automating reports.

The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.

Develop credit risk strategies for consumer lending, optimize portfolio performance, and lead data-driven initiatives. Responsibilities include creating reporting dashboards, managing a team of analysts, analyzing trends, and collaborating with senior leadership and cross-functional teams.

The Senior Data Analyst will support partnerships in the Life Sciences industry by identifying patient cohorts, generate analytics, maintain technical processes, mentor team members, and integrate new data sources. This role emphasizes data manipulation, client interaction, and turning raw data into actionable insights for healthcare innovation.

The Revenue Operations Analyst optimizes revenue processes and performance by managing the revenue forecasting tool, analyzing sales data, and reporting performance metrics. This role involves enhancing sales operations through data-driven insights and collaborating with sales teams to improve forecasting accuracy and sales processes.

The Business Systems Analyst (CPQ) will support Oracle CPQ and its integration with Sales and Marketing processes. Responsibilities include requirement analysis, configuration, testing, troubleshooting CPQ issues, user documentation, and collaborating with global teams to enhance customer experiences using the CPQ platform.