Top Senior Data & Analytics Jobs in Chicago, IL

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Load, validate, and reconcile client investment data using Excel and SQL. Collaborate with development teams to automate and streamline onboarding workflows, apply accounting and securities knowledge, lead process improvements, and coordinate complex activities to improve delivery speed and accuracy.

Lead and administer cloud data warehouse platforms (e.g., Snowflake), design scalable data architectures and models, build and maintain ETL/ELT pipelines, implement CI/CD and version control, optimize performance and costs, migrate/load data from APIs/SaaS/ERP, and ensure security, governance, and testing best practices across the data lifecycle.

As a Senior Business Intelligence Engineer, you will design and maintain reporting solutions, architect ETL pipelines, and implement AI use cases while collaborating with stakeholders across various business units.

As a Senior Forward Deployed Accountant, you will architect and automate accounting processes, engage with CFOs, troubleshoot technical issues, and drive AI-driven transformation across enterprise accounts.

The M365 Platform Manager oversees the Microsoft 365 ecosystem, leading architectural direction, team development, and governance while ensuring alignment with business priorities and security standards.

Lead and supervise a forensic data analytics team to develop statistical and predictive models, perform large-scale data integration and mining, manage projects and timelines, produce reports and visualizations, and support citywide investigations and audits. Ensure analytical rigor, mentor staff, and maintain data accuracy, security, and cross‑functional collaboration to inform investigative leads and policy recommendations.

The eCommerce Sales Analytics Lead analyzes market data, provides recommendations, collaborates across teams, and conducts financial analyses to drive sales growth and profitability.

Lead a small data engineering team and own market data platforms from ingestion through delivery. Build and maintain KDB+/Q time-series systems, ensure data correctness, low-latency decoding, replay/recovery, and reliable distribution to downstream consumers. Write production code, review designs, improve observability, and prepare the platform for AI-driven consumers.

Administer and optimize P21/SQL databases, design logical and physical data models, manage SSRS reports and SSIS packages, ensure security, backups, and recovery, tune performance, collaborate with cross-functional teams and vendors, and document database procedures and policies.