Top Senior Data & Analytics Jobs in Chicago, IL

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

Lead the development and maintenance of quantitative risk models, improve market risk frameworks, and collaborate with IT and risk teams to enhance data quality and model performance.

The Lead, Sales Analytics & Business Intelligence will analyze data, drive business strategy, and provide insights to enhance sales growth and profitability.

The Principal Data Analyst at Capital One will leverage analytics and technical skills for data management, business intelligence, and innovative data solutions.

The role involves architecting data models, ensuring data integrity, collaborating with teams on data strategies, and implementing innovative data solutions. Requires strong analytical skills and expertise in data management technologies.

The Quant Analytics Manager will drive email marketing analytics, optimize strategies, and enhance data utilization for performance improvements. Collaboration with various teams and mentoring new hires is also key.

The Sr Associate, Collections will lead the development of collections strategies, drive performance management, mentor analysts, and partner with cross-functional teams to improve customer outcomes and financial analytics.

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.

Lead the development of advanced analytics products, manage a BI team, and engineer end-to-end solutions, ensuring data quality and compliance.

The Director of Strategy & Analytics will lead analytics efforts, conduct data analyses, and collaborate cross-functionally to deliver actionable insights for business growth.

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