Top Data Analyst Jobs in Chicago, IL

Contract Claims Data Analyst to support ingesting and transforming claims data into production, validate data quality and configuration logic, handle duplicate claims and claim-type distinctions, identify anomalies, escalate issues, and deliver claims analytics and insights to stakeholders.

Analyze, clean, and validate data from multiple sources; develop and run SQL queries; calculate KPIs and financial metrics; create visualizations and present insights to non-technical stakeholders; collaborate with business partners to translate requirements into data-driven recommendations.

Work with product management and cross-functional teams to gather and document market data requirements, develop technical specifications, support SDLC and QA, and ensure product launches and support align with client needs and business objectives.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.

The Customer & Strategy Operations Associate supports Customer Success by analyzing data, developing dashboards, ensuring data integrity, and providing operational insights.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

Lead growth analytics for acquisition and activation funnels: measure channel performance, build data models and KPI reporting, run experiment analysis, and translate insights into business recommendations. Partner with Growth product team and leadership to visualize results and drive strategy.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

The Senior Data Analyst will apply analytical skills in the consumer credit domain, develop complex analytic solutions, support client engagements, and communicate insights effectively.

Design and implement end-to-end SQL data pipelines and R/Python/SAS statistical analyses for HEOR/RWE observational studies using Komodo's Healthcare Map. Validate and document analyses, apply epidemiologic methods and advanced statistical techniques, produce publication-ready deliverables, and present results to stakeholders while maintaining version control and reproducible research practices.

Lead customer analytics to inform acquisition, retention, and reactivation. Build segments, maintain BI dashboards, track marketing KPIs and A/B tests, and partner with cross-functional teams to translate insights into marketing and product strategies.

Analyze digital customer journeys and site behavior to identify friction, explain marketing performance, and provide actionable insights. Maintain dashboards, support A/B and multivariate testing, collaborate with developers on tagging and tracking, and drive optimization to improve conversion and retention.

Serve as a data quality and QA engineer on a federal data platform: build automated AWS Glue/Deequ data quality checks, validate schemas and ETL pipelines, create and run unit/integration tests with 90% coverage, support IV&V and UAT, perform static/security scans, produce test documentation, monitor production ETL, and collaborate with data stewards and IV&V teams.

Collects, analyzes, reconciles, and enters information from multiple sources; maintains case files and status; prepares reports, documents, and summaries; performs word processing and provides timely status updates to support FBI investigations.

As a Data Analyst, you'll clean and analyze survey data, use statistical software, automate procedures with programming, and communicate findings effectively.

The Senior Data Analyst will deliver analytics solutions, develop KPIs and dashboards, conduct advanced analysis, and mentor junior analysts while collaborating with stakeholders.

Lead data analysis efforts by building and maintaining dashboards, performing SQL queries and data quality checks, analyzing program data to inform recommendations, gathering user requirements, managing projects and UAT, training users, and providing technical support for reporting tools.

As a Data Analyst Intern, you will collect, analyze, and interpret data, create visualizations, and support reporting efforts to drive business decisions.

The Data Analyst will analyze data using Google BigQuery and Generative AI, optimize queries, create visualizations, and ensure data quality for strategic decisions.

Lead data strategy for Stripe's risk product, design metrics and frameworks, manage data reliability, mentor analysts, and evaluate risk experimentations.

Run funnel audits and synthesize multiple datasets into exec-ready narratives. Recommend and help launch A/B tests, benchmark against genres and market data, partner with game analysts and ETL engineers to validate and maintain clean data, and provide actionable UA, monetization, and live-ops recommendations to customers.

The Data Analyst will investigate complex business problems using datasets, develop analytical workflows, and present insights for marketing and growth strategies.

Design, model, and validate data warehouses and transactional databases. Perform data mapping, profiling, ETL validation, and create source-to-target documentation. Gather business requirements via JAD/JRP, produce functional specifications, diagrams, test plans, and lead UAT and testing lifecycle activities.

Lead data analytics for sales and customer performance: design, develop, and maintain SQL-based ETL and reporting solutions, ensure data quality and governance, build dashboards (Power BI/SSRS), support tech teams on security/access, and analyze healthcare datasets to inform product and program decisions.