Top Data Analyst Jobs in Chicago, IL

Build enterprise financial and operational reporting capabilities, including executive dashboards, KPI frameworks, scorecards, self-service analytics, and trusted reporting datasets. Analyze complex data to identify trends and performance drivers, standardize metrics, improve data quality and automation, and partner with Finance, IT, and business leaders. Present actionable insights, support governance, document reporting methodologies, and coach analysts and stakeholders.

Own marketing funnel analytics from end to end by monitoring metrics, diagnosing performance drivers with SQL and Python, building Snowflake/dbt models, and maintaining Periscope dashboards. Translate findings into actionable recommendations for leadership, partner with Marketing, Risk, and Engineering on strategy and release impact analysis, and use AI tools while validating their output. Support team development through knowledge sharing, code review, and mentoring junior analysts.

Owns fraud and market-abuse detection models, rules, and partner-facing surveillance reporting across trading data. Investigates wash trading, collusion, hedging, reverse trading, and other suspicious activity; calibrates thresholds, validates false positives, maintains data quality, and produces evidence-based findings. Requires strong SQL, cloud data warehouse experience, futures and derivatives knowledge, anomaly detection expertise, and the ability to communicate findings to partners and executives.

Perform forensic data analysis and fraud detection using SQL, Python/R, ML, big-data tools and visualization. Develop detection models/rules, evaluate anti-fraud tools, manage engagements, communicate findings to stakeholders, and lead project teams in investigations and compliance remediation.

Supports insurance financial data analysis, source-to-target reconciliation, data conversions, reference data maintenance, and financial close activities. Validates premium calculations, investigates variances, supports General Ledger reporting, and documents audit and SOX evidence. Owns business and technical stories, manages development backlogs, coordinates testing and releases, and partners with finance, developers, QA teams, project managers, and senior leaders to deliver data and systems enhancements.

Paid ten-week internship analyzing data and business information, researching organizational needs, developing recommendations, supporting process and metrics improvements, and contributing to cross-functional projects. The intern will document and communicate business requirements, maintain confidentiality and compliance, and present project results to leadership. The role is hybrid in Chicago or Richardson, with at least three office days per week.

Analyzes, researches, coordinates, and reports on provider data for internal teams, providers, and regulatory agencies. The role generates reports, performs network and file analysis, supports surveys and ad hoc data requests, validates report accuracy, coordinates with stakeholders, and serves as a technical liaison for provider database information. Responsibilities may also include data support, system enhancements, and testing.

Develops and operates centralized cybersecurity data pipelines, ETL processes, dashboards, and compliance reporting. Administers Splunk Enterprise and Enterprise Security, integrates cloud, application, vulnerability, asset, and AI security data, and defines risk prioritization models and remediation SLAs. The role monitors remediation performance, improves data quality, automates audit evidence collection, supports AWS security analytics, and communicates actionable risk insights to technical and executive stakeholders.

Analyze complex data, develop self-service data solutions, build business intelligence tools and dashboards, deliver strategic insights, and manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and collaboration with business and technology teams.

Develop and improve IP geolocation automation algorithms using large datasets and IP network topology. Query, extract, and transform data with SQL, R, Python, MongoDB, and BigQuery; provide insights that improve data quality; and collaborate with engineers, data scientists, and stakeholders to solve complex problems and lead data science initiatives.

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Leads clinical pharmacy program analytics by defining governed clinical logic, building SQL transformations and curated datasets, designing outcome evaluations, and creating Power BI and Sigma dashboards. Translates pharmacy guidelines, claims, and drug reference data into reliable metrics, validates predictive models, manages data quality, and ensures HIPAA-compliant data use. Communicates insights to clinical, executive, client, and pharmaceutical audiences while mentoring analysts and supporting program design and continuous improvement.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

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.

Analyzes supply chain and SAP S/4HANA planning data to improve forecasting, inventory levels, material availability, and planning execution. Develops dashboards, KPI scorecards, reports, and analytics solutions using SAP Analytics Cloud, SAP Fiori, embedded analytics, CDS Views, and Power BI. Collaborates with procurement, production, and logistics teams, monitors data quality, identifies risks and automation opportunities, supports AI initiatives, and trains stakeholders on analytics tools and practices.

Analyzes supply chain and SAP S/4HANA planning data to improve planning accuracy, inventory levels, material availability, and supply chain decisions. Develops reporting solutions, dashboards, KPI scorecards, and analytics using SAC, SAP Fiori, embedded analytics, CDS Views, and Power BI. Partners with procurement, production, and logistics teams, monitors data quality, mitigates MRP risks, supports automation and AI initiatives, and trains stakeholders on analytics tools and practices.

Leads development and delivery of complex healthcare, clinical, provider, and financial datasets. Provides enterprise reporting, dashboards, data visualization, business intelligence, and decision support. Analyzes cost, utilization, provider, member, and clinical data to identify inefficiencies and savings opportunities. Serves as an internal analytics consultant, improves data procedures, automates reporting processes, trains team members, and ensures validation and documentation standards.

Collects, processes, and analyzes data from multiple sources using R, Python, and SQL. Develops reports, visualizations, analytical methods, and data-driven insights while applying statistical and introductory machine learning techniques. Collaborates with internal and external stakeholders, documents project progress in JIRA, debugs code, clarifies requirements, and communicates findings through reports and presentations.

Supports public health data extraction, management, cleaning, validation, harmonization, statistical and qualitative analysis, and evaluation. Develops analytic datasets and documentation, analyzes implementation and outcome measures, integrates mixed-methods data, and prepares technical memoranda, reports, tables, figures, and presentations. The role also uses Microsoft Office and CDC administrative systems while supporting government program monitoring and evaluation activities.

Analyzes marketing, website, campaign, and funnel performance using dashboards, reports, SQL, web analytics, data warehouses, and visualization tools. Evaluates A/B and multivariate tests, improves attribution and measurement capabilities, and translates complex data into actionable recommendations. Collaborates cross-functionally to optimize campaigns, website conversion, audience growth, revenue, and marketing efficiency while presenting insights to technical and non-technical stakeholders.

Supports a global Microsoft Dynamics 365 ERP integration strategy by configuring Finance & Operations and Customer Engagement modules, establishing legal entities, defining business requirements, and resolving system and data issues. Leads functional testing, UAT, deployment, test automation, quality assurance, and data migration validation. Collaborates with legal, finance, operations, and technical teams to improve business processes, automate workflows, close process gaps, and ensure accurate, effective ERP implementations.

Analyzes, validates, reconciles, and extracts healthcare data from disparate systems using Excel and SQL. Supports SaaS implementation projects, customer troubleshooting, reporting automation through SFTP, and communication of findings to technical and nontechnical stakeholders. The role also assists with data integrity, issue resolution, customer updates, and implementation progress tracking.

Analyzes servicing, collections, application funnel, and contact-center data to identify performance gaps and inform business decisions. Builds automated reports, partner data files, Snowflake and dbt models, and operations dashboards. Maintains metric definitions, audits models, reconciles partner data, and develops business-case analyses. Uses AI tools to improve analytics workflows and collaborates with data engineering, product, and business teams.

Analyzes data and builds analytical datasets, data models, SQL queries, Python notebooks, dashboards, and reports using Databricks and BI tools. Identifies trends, validates data quality, translates business requirements into reporting solutions, documents data logic, and communicates insights to technical and non-technical stakeholders. The role also supports governance, security, lineage, and compliance across collaborative client delivery projects.