Top Tech Jobs & Startup Jobs in Chicago, IL

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Design, build, and operate scalable cloud-native data platforms and pipelines supporting analytics, reporting, AI, and customer-facing applications. Develop ETL/ELT workflows, data lakes, event-driven streaming solutions, integrations, and data models using Python, SQL, AWS, databases, warehouses, messaging technologies, and orchestration tools. Monitor production systems, optimize performance, automate testing and deployment, and collaborate with engineering, platform, product, and data teams.

Owns Workday HCM administration, troubleshooting, configuration, reporting, security, integrations, and data quality. Designs and implements process improvements, automation, business processes, and global or country-specific enhancements. Partners with HR, IT, vendors, and business stakeholders to translate requirements into scalable Workday solutions. Supports cyclical programs including payroll, benefits, compensation, audits, and open enrollment while providing documentation, training, testing, and technical guidance.

Lead advanced financial analysis, reporting, forecasting, and complex modeling. Drive business analytics and profitability analysis, provide strategic recommendations, and present insights to senior management to support planning and decision-making.

Lead and mentor a full-stack engineering team to transition desktop and mobile apps to cloud-based SaaS. Own architecture, feature development, infrastructure, reliability, monitoring, and code quality while contributing hands-on (approx. 50% coding, 50% leadership). Collaborate with product and cross-functional teams to design scalable, performant features and reduce technical debt.