Top Data Analyst Jobs in Chicago, IL

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Serve as a Senior Data Analytics Consultant specializing in Dynatrace and observability to analyze digital experience data, produce dashboards and reports, advise 4–8 enterprise clients, present findings to technical and executive audiences, configure tooling, influence product roadmap, and support client enablement and account growth.

Partner with Finance stakeholders to build reports, dashboards, and data solutions; perform analysis, data validation, and data quality management; leverage scripting, BI tools, Snowflake and other platforms to enable self-service, regulatory reporting, and predictive modeling support.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

Lead Consumer Lending decisioning analytics across credit card, HELOC, and personal lending. Translate business needs into analytical approaches, perform hands-on analysis and validation, oversee and mentor junior/offshore analysts, partner with stakeholders, and drive automation, model monitoring, and process improvements to scale analytics capabilities.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Support HRIS implementation by extracting, cleansing, validating, and preparing employee data for migration. Reconcile reports, fix duplicates and missing data, create Excel transformation files, maintain data quality, document work, and assist with testing and post-go-live support.

Design and analyze experiments, measure campaign incrementality, identify customer segments and engagement opportunities, validate tracking and anomalies, surface actionable insights, and build scalable measurement infrastructure with cross-functional partners.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Build and maintain revenue and customer-lifecycle reporting, author complex BigQuery SQL, develop segmentation and clustering models in BigQuery ML, perform entity resolution and data quality reconciliation, migrate and maintain Tableau dashboards, and deliver ad-hoc and recurring analyses to support Sales, Revenue, and cross-functional teams.

The Analyst will implement Axiom software, facilitate client integration, utilize SQL and Excel for problem-solving, lead training, and enhance operational processes.

Analyze and combine disparate marketing and analytics data, create reproducible reports and visualizations, collaborate with data engineers/scientists and stakeholders, derive insights and recommendations for clients, and improve reporting templates and workflows.

Manage market data vendor relationships, contracts, procurement and inventory. Oversee service delivery, entitlement administration, exchange reporting, invoice reconciliation, cost savings, and client communications for market data services.

The Senior Quantitative Data Analyst will analyze exchange datasets, develop data products for clients, and apply advanced analytics to identify insights and support market engagement.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Provide research support and program evaluation for public health projects: analyze mixed-methods data, produce reports, link implementation measures to outcomes, and advise stakeholders. Use BI and qualitative tools, manage administrative/government systems, and communicate findings to high-level officials.

Freelance writer-analyst who analyzes complex spreadsheets and benchmark data to extract insights and craft B2B technical and marketing content. Collaborates with strategists, designers, and SMEs to produce white papers, solution briefs, scripts, infographics, and presentations, delivering drafts on schedule while managing multiple projects and working with Pacific-time collaborators.

Perform data analysis on complex spreadsheets, benchmark and research data to identify trends and insights. Collaborate with writers, engineers, and strategists to validate and implement findings, create charts and visualizations, and deliver timely, client-facing deliverables as a US-based freelance contractor.

Build and maintain reports, dashboards, and visualizations; analyze data to provide actionable insights; support ad hoc requests; ensure data quality with engineers; document processes; integrate AI tools to streamline cleaning, analysis, and documentation; collaborate with stakeholders to track outcome-based metrics.

Manage and maintain digital measurement and tracking across web and server-side setups. Implement and validate conversion tracking and Conversion APIs, configure GA4, build client-facing dashboards, audit analytics accounts, troubleshoot discrepancies, define custom data layers, support API/CRM integrations, and translate technical findings into actionable campaign insights while ensuring privacy-compliant measurement.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Maintain and improve quality of Pursuit and Project data in Salesforce; perform audits, research, entry, and ad hoc analysis. Build dashboards and automated reports, support Salesforce administration and testing, deliver user training and enablement, and partner with marketing and project teams to standardize processes and improve data governance and adoption.