Top Data Analyst Jobs in Chicago, IL

Lead validation of enterprise analytical tools: refine validation framework, plan and execute projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff.

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.

Lead a team delivering enterprise-wide model risk reporting and AI-driven automation. Build and deploy scalable ML/AI solutions, conversational reporting, multi-agent workflows, and centralized data integrations. Drive analytics strategy, validate models and data, improve reporting and operational efficiency, and collaborate across business units.

As a Principal Data Analyst, you will drive workforce analytics initiatives, develop self-service data tools, and ensure data quality, leveraging various programming and data visualization tools.

The Data Analyst will evaluate data flow, develop solutions, communicate findings, create data visualizations, and ensure timely project completion.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Build and own analytics platforms that connect AI spend, ITSM performance, and knowledge-worker productivity. Integrate LLM telemetry with Snowflake/Fabric, create executive dashboards, identify AI enablement opportunities, normalize ServiceNow and operational data, and produce executive-ready reports measuring AI ROI and productivity impact.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

The Senior Data Analyst will build dashboards, develop ETL pipelines, provide insights on workforce trends, and collaborate with HR and Finance stakeholders.

Collects, reconciles, and analyzes information from multiple sources; performs accurate data entry and word processing; maintains physical files and case status; prepares reports, summaries, and replies; coordinates requests for additional information and provides timely status updates to support FBI investigations.

The Senior Technical Data Analyst transforms complex structured and unstructured data into actionable insights, supporting governance and growth initiatives. Responsibilities include data analysis, partnering with engineering teams for data ingestion, business translation, creating data products, and ensuring data governance and quality.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

Support HEDIS measurement, reporting, validation, and submission. Translate HEDIS specs into data solutions, analyze claims/eligibility/provider/pharmacy data, perform data quality and reconciliations, gather requirements, support UAT and audits, and partner with business and technical teams to improve payer reporting and quality initiatives.

Provide data-driven insights for mass tort and product liability litigation by building predictive models, financial projections, and dashboards; manage litigation portfolios, collaborate with attorneys and finance, and translate analytics into strategic recommendations to guide case valuation, settlement strategy, and practice profitability.

Design, build, and maintain SSIS-based ETL templates to convert legacy customer data into corporate systems. Support ETL leads, perform QA on data conversion projects, and document/refine ETL policies and procedures to ensure accurate integrations and a strong customer experience.

Develop ML/AI models and analytics for fleet and asset management using time-series IoT/telematics data to predict failures, estimate remaining useful life, and assess risk. Build generative AI solutions and agents, evaluate emerging technologies, support connectivity programs, and provide digital technical support.

Lead analytics for enterprise marketing and messaging: build data solutions and self-service tools, mine varied data sources, develop dashboards and BI insights, ensure data quality/lineage and governance, collaborate with tech teams on security and access, and monitor data quality.

Validate complex data mappings and transformations, build advanced SQL and PySpark ETL/automation, develop transactional and dimensional models for credit risk, ALM, and regulatory reporting, perform data lineage and statistical analysis, support testing/UAT/production, and deliver insights for executive decision-making and compliance.

Join an Agile Scrum team to define, scope, and certify domain-level data products (quote, policy, premium, loss). Perform end-to-end business/data analysis, stakeholder liaison, data stewardship, use GenAI and Big Data tools for mapping and profiling, ensure data quality and governance, and support delivery of analytics and the product (data asset) roadmap.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

The Data Analyst will support the Chicago Bakery Team by analyzing key performance indicators and data reporting for production lines, focusing on efficiency, downtime, and waste.

Analyze manual processes to find improvement opportunities, define problem scope, propose solutions, and automate procedures using Excel/VBA. Create queries, write reports, and present findings to drive operational excellence.

Build and maintain data pipelines and integrations, develop SQL/Python analytics and BI dashboards, ensure data integrity, perform deep-dive financial analyses, and partner with finance, operations, and advisors to deliver actionable insights supporting forecasting, reporting, and business decisions.