Top Data Analyst Jobs in Chicago, IL

Supports Global People Operations through HR reporting, data analysis, visualizations, data governance, HRIS reporting, data integrity, and process improvement. Partners with stakeholders to gather requirements, analyzes employee lifecycle data, maintains scalable reports, identifies trends, and translates sensitive People data into actionable insights for decision-making.

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.

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.

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.

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

Work with large game datasets to measure and improve VIP engagement, campaign effectiveness, and player support. Build data models, dashboards, and analyses; collaborate with game analysts, product teams, and stakeholders to provide insights and ad-hoc reporting to optimize player outreach and satisfaction.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Design and build scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.

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

Supports alternative data operations by monitoring source and furnisher quality, investigating customer issues, identifying root causes, implementing corrective actions, managing escalations, and coordinating customer integration projects. The role serves as an internal contact for data-source issues, partners with customers to audit reported data, communicates with stakeholders, and recommends solutions to improve operational performance and data reliability.

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.

Design and build Qlik Sense dashboards and data load transformations for middle/back-office teams. Develop and maintain backend services supporting the trade lifecycle, ensure accurate data flows, own audit-trail reporting, support production systems, and improve performance, reliability, and observability.

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.

Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

Analyzes customer and business requirements, data, test results, and program outputs to implement accurate batch data fulfillment solutions. Serves as a liaison between business, technical, and operational teams; configures systems, executes test plans, troubleshoots processing issues, maintains documentation, and ensures compliance with legal and operational standards. The role also supports process improvements, cost reduction, quality initiatives, and timely program delivery using proprietary systems.

Maintain and integrate investment data; build data systems and ETL pipelines; analyze large datasets; produce visualizations and reports (Tableau/Power BI/D3.js); improve data quality and governance; develop analytical tools; collaborate with clients, system architects, and product teams.

Performs business data analysis, stakeholder requirements elicitation, SQL-based data discovery and profiling, data mapping, root cause analysis, and reporting solution development. Serves as a liaison between business and IT teams, advises stakeholders, mentors Business Data Analysts, supports data quality improvements, and drives best practices in an Agile environment.

Summer Analyst in Data & AI will design and build end-to-end data, analytics, and ML/AI solutions using cloud and modern tooling. Responsibilities include developing models and pipelines, running experiments tied to business KPIs, supporting data governance and compliance, creating dashboards, and collaborating in agile teams while receiving mentorship and training.

Analyze clients’ marketing measurement, data, technology, and analytics ecosystems; gather requirements; identify gaps and opportunities; recommend data-driven solutions; and create client deliverables. The role presents findings, manages client relationships, supports internal process improvement, contributes to marketing and thought leadership, and may manage team members, account strategies, and multiple workstreams at the senior level.

Maintains and enhances data pipelines, transformations, supplier quality reports, scorecards, and dashboards in Domo and related analytics tools. Develops business intelligence solutions covering supplier performance, sourcing effectiveness, spend, risk, and continuous improvement. Partners with sourcing, supply chain, logistics, IT, plant, and executive stakeholders to translate business needs into technical requirements and actionable insights. Leads complex analytics initiatives, documentation, training, stakeholder communications, and cross-functional process optimization.

Build and maintain data solutions for risk products: mine diverse data, develop BI dashboards and metrics, perform analyses to inform strategy, enforce data quality/lineage/governance, and collaborate with tech teams on access and security. Support self-service frameworks and monitor data quality.

Analyze observability, digital experience, and business analytics data for enterprise clients to improve website performance and user engagement. Manage relationships with 4–8 clients, conduct ad hoc analyses, configure Dynatrace solutions, create reports and dashboards, present findings to technical and executive audiences, provide training, and influence product roadmap decisions. The role combines advanced data analysis, strategic consulting, customer account management, and executive communication.

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.