Top Data Analyst Jobs in Chicago, IL

Analyze commercial P&C insurance rates, filings, competitors, loss ratios, portfolios, and regulatory requirements. Build rating plans, support rate and form filings, respond to regulatory objections, and monitor product performance. Use SQL and PostgreSQL for data analysis, Metabase for dashboards, and dbt for data transformation. Collaborate with actuarial, underwriting, compliance, product, and engineering teams to translate insights into pricing and product decisions.

Develops market data, risk analytics, P&L calculations, pricing models, and regulatory reporting solutions for Rates and FX derivatives. Partners with Macro trading desks and middle-office teams to analyze portfolio exposure, troubleshoot derivatives issues, support trading operations, and translate business requirements into technical solutions. The role requires expertise in swaps, swaptions, caps, floors, option Greeks, and cross-asset trading systems.

Designs, develops, deploys, and supports enterprise business intelligence solutions using Power BI and related platforms. Builds semantic and dimensional models, dashboards, reports, and analytical products; applies advanced analytics; optimizes performance; and establishes reporting standards. Partners with stakeholders and data engineering teams to translate business questions into actionable insights. Responsibilities include testing, certification, modernization, troubleshooting, documentation, agile delivery, and technical guidance. Analyst IV responsibilities additionally include technical leadership, cross-functional project leadership, design reviews, and mentoring.

Deliver recurring and ad hoc commercial analytics, client reporting, performance-guarantee calculations, dashboards, and value measurement. Define and govern metrics, validate data, improve documentation and workflows, and automate repeatable processes. Partner with Client Success, Commercial, Finance, Product, and Analytics teams to translate complex questions into actionable insights, client-ready narratives, and recommendations that strengthen client relationships and inform business strategy.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Supports risk portfolio programs through strategic project planning, data analysis, dashboard development, process automation, vendor and ROI management, governance, and audit documentation. The role partners with risk analysts, data scientists, Product Management, Engineering, and other stakeholders to identify risk indicators, design controls, improve workflows with AI tools, and communicate actionable insights across credit, fraud, and reputational risk initiatives.

Owns automated dashboards, SQL-based analysis, data pipeline monitoring, exploratory analysis, and executive recommendations. The role tracks marketplace KPIs such as customer lifetime value, acquisition costs, churn, and provider utilization while partnering with engineering and product teams on data requirements. It is fully remote within the United States and requires advanced SQL, dashboard development, and strong analytical communication.

Drive client growth for Circana’s Foodservice team by selling data and software solutions, managing end-to-end sales cycles, translating POS and consumer data into actionable insights, building stakeholder relationships, meeting revenue targets, and collaborating with analytics, product, and client insights teams.

Provides data management, database administration, performance reporting, QA/QC, and analytical support for NOAA environmental restoration programs. Develops Power BI dashboards, reports, data models, and visualizations; supports Power Apps, Dataverse, database processes, testing, and user acceptance. Translates program needs into technical requirements, documents business rules and procedures, trains users, troubleshoots data issues, and analyzes performance trends. Requires collaboration with program staff, project managers, leadership, and technical developers, with occasional travel and periodic on-site meetings.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Analyze complex data and develop managed data solutions, business intelligence tools, dashboards, metrics, and self-service capabilities. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and familiarity with cloud services and data governance.

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

Develops scalable data models, dashboards, reports, and analytical solutions that support business decisions. Partners with stakeholders to translate requirements, ensures data accuracy and usability, provides technical guidance to end users, documents architectures and processes, and communicates findings to technical and non-technical audiences. The role requires advanced Spotfire, SQL, and business intelligence experience, plus familiarity with modern data platforms and AI-assisted development tools.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

Supports business projects and process improvements by analyzing workflows, developing KPI reports, documenting procedures, piloting new processes, resolving enhancement requests, and bridging technical and non-technical teams. Requires SQL Server and report-writing experience, with preferred expertise in Microsoft Office, VBA, and Access. This is a fully remote desk-based role.

Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate improvements.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

Develop machine learning, deep learning, statistical, and Generative AI solutions using equipment and telematics data. Build models for anomaly detection, failure prediction, remaining useful life, and risk assessment. Support digital products through reliability monitoring, incident response, automation, connectivity planning, technical analysis, and performance optimization. Partner with engineers and data scientists on AI, analytics, IoT, and digital product initiatives.

Maintains and optimizes the Foundation’s Salesforce ecosystem, manages development data tickets, supports fundraisers, builds reports and dashboards, designs workflows, performs QA testing, audits data quality, manages duplicate records, documents system standards, and provides backup gift-processing support.

Own product analytics for mobile and web products, including funnels, cohorts, retention, experimentation, instrumentation, anomaly detection, and self-serve reporting. Partner with product managers to shape roadmap priorities, translate ambiguous questions into recommendations, present insights to nontechnical audiences, and mentor analysts. The role requires advanced SQL, experimentation expertise, Python, AI-assisted analytics workflows, fluent English, and overlap with US Eastern business hours.

Manages eligibility and accumulator file exchanges with TPAs, including SFTP administration, automation, monitoring, reconciliation, and discrepancy resolution. Serves as the operational liaison for business teams and external partners, leads impact analysis and proactive issue communication, maintains dashboards and documentation, and delivers data operations projects. Develops AI-assisted tools while ensuring secure handling of HIPAA-protected data.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Analyzes healthcare claims, provider reimbursement, QPA, and dispute data to support No Surprises Act negotiations, arbitration, and OON liability management. Builds SQL-based reports, dashboards, data processes, and financial views; validates data quality; tracks dispute KPIs; integrates internal and external sources; and presents actionable recommendations to leadership and cross-functional stakeholders.

Leads enterprise data governance initiatives across a healthcare organization, translating business needs into governance requirements, standards, policies, and data quality practices. Analyzes heterogeneous healthcare data sources, supports data cleansing and master data management, develops trusted datasets for analytics, and facilitates collaboration among executives, data stewards, and business users. The role also leads projects, mentors stakeholders, and promotes data stewardship and governance maturity in an agile environment.