Top Data & Analytics Jobs in Chicago, IL

Lead integration of GIS applications with SAP and OverIT, design GIS architecture using Esri/ArcGIS, manage project planning and delivery, coach teams, build client relationships, convert and integrate GIS data, and ensure technical and professional standards.

Design, build, and maintain scalable data pipelines, integration and transformation solutions using Azure Data Factory, Databricks, and Snowflake. Ensure data quality, security, and anonymization, collaborate with teams to optimize data architecture, and translate data into actionable insights for tax clients.

Lead development and implementation of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.

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.

Supports data analysis and analytics projects through research, data gathering, dashboard creation, algorithm development, data integration, data mining, and data integrity validation. Uses Alteryx and Power BI to automate workflows and report metrics. Collaborates with advisory teams, develops data-driven insights, and learns PwC methodologies while contributing to client-focused projects.

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.

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.