Top Senior Level Data & Analytics Jobs in Chicago, IL

The Senior Business Systems Analyst leads lifecycle projects, elicits requirements, and serves as an SME for Sales and Marketing technology. Key responsibilities include optimizing applications, conducting process analysis, and collaborating with engineering for solutions.

The Sr Associate, Fraud Analytics will analyze data to identify fraud trends, develop strategies, and utilize machine learning models for fraud prevention while collaborating with stakeholders across the company.

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

The Analytics Solutions Manager will drive HR product decisions through advanced analytics, ensuring data accuracy and actionable insights for stakeholders.

The Manager of Product and Client Analytics will lead analytics initiatives, define reporting requirements, and drive client engagement insights through collaboration with Product and Engineering teams.

The role involves delivering customer service for Planning and Performance solutions, supporting tool adoption, and mentoring junior members. Responsibilities include project management, financial analysis, and optimizing customer experiences.

Lead the transformation of legal content into AI-ready data, overseeing data pipelines and systems. Foster team development while partnering with stakeholders to shape data strategy.

The Manager, Ads Measurement Strategy will analyze advertising effectiveness, collaborate with teams, and present actionable insights to clients, driving measurement strategies within a data-driven company.

The Manager of Quantitative Risk Management supervises model development and maintenance while mentoring team members to improve risk models and ensure data quality.

The CPFR Analyst will enhance customer satisfaction by improving collaborative planning and driving continuous improvement initiatives within the supply chain. Responsibilities include analyzing forecasting trends, executing value-added services, identifying data insights, and collaborating with multiple functional teams.