Top Data & Analytics Jobs in Chicago, IL

Lead data validation and risk initiatives using advanced analytics, statistical modeling, and visualization to extract insights, improve data quality, build pipelines, and deploy scalable data solutions. Manage client accounts, mentor teams, and collaborate with stakeholders to address data challenges and optimize business performance.

Design and implement data architecture and scalable ETL/ELT pipelines on cloud platforms (AWS/Azure/GCP). Analyze complex problems, mentor junior staff, ensure data governance/security compliance, liaise with stakeholders, and deliver high-quality client solutions while developing technical and client-facing skills.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, drive product data strategy and integrations, improve data quality and processes, mentor team members, and support business development and client engagement to align product data practices with organizational goals.

Design, code, test, and deploy software solutions within the Tax practice, focusing on Python-based application and API development, CI/CD, OOD, QA, and enterprise integration. Collaborate with clients and teams to translate business requirements into technical specifications, debug and optimize systems, perform code reviews, and mentor junior staff while maintaining professional and technical standards.

Design, code, test, and deploy software solutions for Tax clients. Collaborate with teams to gather requirements, implement APIs and integrations, apply CI/CD and OOD principles, perform code reviews, debug and QA, and support project delivery while building client relationships and technical skills.

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Lead architecture and delivery of master data management solutions, drive large projects, improve data quality and operations, design taxonomies, and mentor teams to achieve operational excellence and client satisfaction.