Top Data & Analytics Jobs in Chicago, IL

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

The Decision Analytics Associate Consultant will solve dynamic business issues through analytics and modeling, develop client relationships, communicate results, and enhance ZS's capabilities while mentoring teams.

As a Decision Analytics Consultant, you will manage analytics projects, mentor junior team members, and develop insights for client strategies using data modeling and analysis.

The Decision Analytics Consultant manages data-focused projects in the pharmaceutical sector, utilizing data science techniques to enhance decision-making and guide junior team members, ensuring effective client service and project delivery.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

Develop solutions for client business problems, conduct research, design analyses, communicate results, and support project management while mentoring Associates.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

Design, build, and maintain scalable data pipelines and technical solutions using AWS, PySpark, and Cloudera. Lead modules, translate business needs into technical designs, manage delivery, mentor team members, and support project planning, testing, deployment, and operations.

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.

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.