Top Senior Data & Analytics Jobs in Chicago, IL

Leads technical business analysis across engineering, product, finance, and analytics teams. Translates business and regulatory reporting needs into requirements, data models, dbt models, SQL queries, metrics, and reporting solutions. Manages projects, mentors analysts, analyzes and reconciles data, resolves quality issues, and establishes testing, documentation, auditability, and data quality standards.

Lead the Data Platform Engineering team owning ETL/reverse-ETL pipelines, replication, and production datastores. Define architecture, roadmap, standards (IaC, observability, schema contracts), mentor engineers, drive incident response and durable fixes, and partner on cross-team technical decisions and operational reliability for data correctness, completeness, and timeliness.

Build and lead the data engineering ecosystem supporting analytics, BI, and data science. Design scalable pipelines, cloud infrastructure, Snowflake data warehouses, governance controls, validation frameworks, and machine learning workflows. Collaborate with engineering, data science, product, and business stakeholders on architecture and technology decisions. Develop AI agents and secure enterprise AI integrations, participate in on-call and incident management, document standards, and mentor data engineers.

Belvedere Trading seeks a Senior Data Engineer to enhance trading performance through data availability and reliability, designing ETL pipelines and data architectures in a fast-paced environment.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Lead design and execution of an enterprise data controls and governance program. Assess controls, define standards, implement data quality checks and monitoring, support platform migrations, and enable AI-ready data. Partner with cross-functional teams, manage a team of analysts, and ensure regulatory compliance for critical ratings and enterprise datasets.

Lead a team evaluating new and existing data assets, standardize due-diligence and analytical methodologies, validate data quality and business value, partner with Product and Technology to support onboarding and OneTru cataloging, establish governance and lineage standards, and coach team members to drive data-driven product and revenue decisions.

Lead regional economic intelligence and outreach, conduct qualitative and quantitative research, produce sector and district analysis for policy use, prepare publications and presentations, engage senior external stakeholders, and mentor junior economists.

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 CX measurement and insights by owning the measurement framework and customer health score, integrating multi-source CX and product data, building dashboards, validating methodology, synthesizing insights for senior leaders, and enabling data-driven actions across Customer Success, Product, Sales, and Finance.