Top Data & Analytics Jobs in Chicago, IL

The Senior Quantitative Analyst will develop methodologies to enhance equity ratings, create analytical tools, and collaborate with stakeholders globally, requiring strong Python skills and over 5 years of experience.

The Data Engineer III will design, build, and optimize data pipelines and backend systems, integrating with SAP and supporting analytics applications. Responsibilities include developing ETL workflows, backend applications, and ensuring data quality.

Lead a team of data engineers and DBAs to ensure reliability, performance, and security of a data platform spanning SQL Server, Azure SQL, Snowflake, and Microsoft Fabric. Hands-on role includes performance tuning, incident response, monitoring, backup/recovery, platform modernization, and partnering with engineering and analytics for scalable, cost-efficient systems.

Lead enterprise healthcare data modeling: design and maintain conceptual/logical/physical models, integrate varied clinical sources, implement common data model transformations, monitor data quality, and collaborate with clinicians, data scientists, and engineers.

The role involves gathering requirements and data analysis to support governance and quality measures, implementing data quality solutions, managing workflows, and ensuring data lineage and accuracy across diverse environments.

Support pricing and profitability strategy through analysis of pricing, sales, gross profit, customer behavior, and market data. Monitor competitor pricing, evaluate product/category performance, build dashboards and reports, segment product opportunities, and partner across teams to translate insights into pricing recommendations and initiatives.

Lead complex data analyses and build interactive dashboards to drive actionable business insights. Integrate multiple data sources, support ETL and data pipeline work, ensure data quality and governance, collaborate with stakeholders, and translate trends into recommendations to improve outcomes across the consumer products portfolio.

The Senior Analytics Engineer will design data warehouses, build transformation pipelines, optimize queries, and mentor stakeholders on data practices to enhance decision-making across the company.

The Portfolio Risk Associate will analyze portfolio trends, support risk monitoring, and generate insights using SQL and Python, collaborating with various internal teams.

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