Analytics Engineer

• Lead complex risk data analytics initiatives from requirements through delivery, validation, implementation, and operational support
• Translate business questions into clear data, analytics, and reporting requirements
• Build and maintain trusted risk datasets, semantic models, dashboards, reports, and reusable analytics products
• Integrate and analyze information from internal platforms, vendor tools, external sources, and operational systems
• Automate data collection, preparation, validation, reconciliation, refreshes, and recurring reporting processes
• Produce analytics identifying trends, control weaknesses, emerging risks, performance gaps, and opportunities to prioritize risk action
• Support governed, analytics-ready data products for leadership reporting, operational insight, automation, and future AI-based capabilities
• Establish best practices for data sourcing, transformation, quality, documentation, governance, access, and reporting adoption
• Coach analysts and enable stakeholders through technical consultation, reusable templates, training, and practical guidance
• Partner with risk, control, regulatory, product, engineering, and leadership stakeholders
• No supervisory duties

Data Analytics Engineer

• Lead design and development across responsive front-end interfaces, APIs, services, and the underlying data layer for analytics products
• Set technical direction and architecture for scalable, secure, and high-performance AWS-based analytics solutions
• Collaborate with product management on roadmap, prioritization, and feature delivery using Agile practices
• Identify and lead opportunities to embed AI and Agentic AI capabilities into analytics products
• Partner with data scientists to move machine learning models from prototype into reliable, production-grade services
• Evaluate and apply large language model-based tools with attention to data privacy, accuracy, and healthcare compliance
• Design and maintain ETL and data pipeline processes for dashboards, models, and client-facing reporting
• Build scalable data infrastructure using S3, Redshift, Glue, Lambda, and Athena
• Uphold data governance, quality, and healthcare data handling standards
• Support and mentor a team of engineers
• Establish and improve engineering practices, code quality standards, and delivery processes
• Communicate progress, risks, and technical decisions to product leadership and cross-functional stakeholders
• Write and review code while guiding the platform's technical direction end to end

Analytics Engineer jobs in Illinois

Data Analytics Engineer

Lead Engineer, Analytics Platform – AI