Top Analytics Jobs in Chicago, IL

Develop advanced statistical models and custom analyses to solve client business challenges. Use R, Tableau, SAS, Visual Basic, VBA, Excel, and related technologies to analyze data, guide decisions, and create client deliverables. Present findings, manage client relationships, provide project updates, implement solutions, and mentor Associates. The role requires strong quantitative education, programming or analytics experience, communication skills, teamwork, and availability for full-time work in 2026.

Analytics interns develop and test lending and verification models, conduct statistical and financial analyses, recommend risk, marketing, and operational strategies, create KPIs with senior management, and present findings to executives. The internship involves collaboration across Analytics teams and requires advanced Python programming, SQL, statistical and machine learning knowledge, and the ability to communicate technical concepts clearly.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Leads a team of approximately six analysts responsible for customer loyalty and experience analytics across banking businesses. Oversees satisfaction, NPS, survey, behavioral, operational, and financial analysis; translates findings into executive recommendations; quantifies business impact; advances AI and analytical innovation; supports executive, board, and regulatory reporting; and establishes consistent enterprise customer measurement practices.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Leads and manages a business analyst team supporting a data platform. Partners with clients, product managers, engineers, and stakeholders to gather requirements, write user stories, perform data gap analyses and source-to-target mapping, validate data using SQL, and support data quality, lineage, QA, Agile delivery, change management, and documentation. Requires healthcare data expertise, people leadership, strong communication, and experience translating technical information for varied audiences.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Lead Toast’s global People Analytics function across data engineering, analytics, data science, and employee listening. Set the people data and reporting strategy, establish trusted metrics and governance, partner with executives on workforce decisions, measure People program impact with Finance, and build scalable self-service analytics. Manage a distributed US and India team, oversee executive and board-level workforce analysis, and collaborate with privacy, legal, People technology, AI, and data engineering teams.

Manage data analytics for PULSE Risk & Compliance by analyzing large datasets, identifying transaction anomalies and risk exposure, validating models, improving reporting and processes, and supporting compliant data strategies. The role involves Python-based programming, BI, database and data-storage design, strategic testing, cross-functional collaboration, project leadership, and people management in a hybrid environment.

Leads fraud analytics and fraud-vendor implementation, identifying emerging criminal behaviors through SQL, SAS, statistical analysis, data mining, and pattern recognition. Develops detection rules, models, metrics, scenarios, and automated reports to improve fraud prevention and reduce losses. Partners with Fraud, Product, Technology, and business stakeholders to implement controls, manage data quality, support investigations, and guide fraud strategy and governance.

Leads a centralized contact center analytics function, managing analysts, prioritizing analytical requests, and setting operating standards. Performs complex analyses and executive insight reporting while building repeatable frameworks, automation, and responsible AI-assisted workflows. Partners with reporting and technology teams on data access and tools including MicroStrategy, Genesys, CallMiner, and Snowflake. Ensures analyses account for TCPA, FCRA, and FDCPA requirements while supporting strategic initiatives across customer service, lending, collections, complaints, workforce management, and related operations.

Provides pharmacy analytics expertise to clients and internal teams by analyzing pharmacy data, developing reports and tools, and supporting supply chain, clinical utilization, and cost-management programs. Coordinates data quality and validation, collaborates with clinical stakeholders, enhances analytics processes, and supports pharmacy education initiatives. Serves as a preceptor for pharmacy residents, fellows, and student interns while contributing clinical and analytics guidance.

Build and maintain Tableau reporting and analytics tools for pricing, forecasting, profitability, and predictive analysis. Develop automated data pipelines, SQL queries, scalable data models, dashboards, and financial scenario models using Python, SQL, and Alteryx. Analyze large datasets to identify trends, risks, opportunities, data quality issues, and margin performance. Collaborate with Finance, Technology, Commercial, Product, Sales, and Account teams to deliver executive-ready insights and recommendations.

Analyzes recruiting competitive intelligence, talent-market trends, competitor hiring, and workforce data. Develops research frameworks, dashboards, automated reporting, and executive-level recommendations to guide hiring strategy. Partners with recruiting, workforce planning, IT, and data engineering teams to address research requests, improve data accuracy, and scale intelligence delivery through technology and AI-enabled solutions.

Lead consumer lending analytics and strategy across credit card, HELOC, and Auto/RV products. Evaluate portfolio performance, member behavior, pricing, targeting, risk, profitability, and growth opportunities. Develop strategic recommendations, forecasts, business cases, and analytical frameworks using SQL and large datasets. Partner with finance, credit risk, marketing, operations, and technology leaders while managing, coaching, and developing an analytics team.

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and outcomes with cross-functional stakeholders. The role requires independent data work, strong problem solving, persuasive communication, and end-to-end ownership of ambiguous initiatives.

Own the analytical function for a business unit such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; communicate insights and recommendations; and drive decisions and outcomes with cross-functional stakeholders. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous initiatives.

Analyzes syndicated, customer, shipment, and market data to identify category, consumer, pricing, promotion, and sales opportunities. Develops reports, business reviews, presentations, and actionable recommendations for clients and internal stakeholders. Partners with Sales and Category Analytics teams, manages multiple projects, improves reporting processes and data quality, and may mentor junior analysts or lead teams.

Leads advanced analytics teams and managers, owns development and global rollout of analytical products, establishes quality standards, manages capacity, and delivers client-focused reporting. Partners with Sales, Client Services, Product, and Engineering to translate needs into analytics solutions, promote AI-enabled improvements, and connect strategic objectives with execution.

Leads strategy, governance, quality, analytics, and research use of a dermatology clinical registry. Directs teams conducting HEOR, RWE, advanced statistical analyses, machine learning, data linkages, reporting, and data releases. Oversees HIPAA-compliant data operations, de-identification, stakeholder access, vendor relationships, dashboards, and registry-derived products. Translates findings into clinical, quality, policy, research, and strategic insights while collaborating with physicians, specialty stakeholders, and cross-functional teams.

Leads consumer intelligence and strategic analytics for US Consumer Cards, advising senior leadership on customer behavior, competitive dynamics, portfolio performance, risks, and growth. Oversees executive reporting, investor and earnings analyses, strategic benchmarking, and cross-functional decision support. Develops AI-enabled analytical capabilities to automate recurring insights and improve organizational effectiveness.

Conduct healthcare data analysis and research using the Vizient Clinical Data Base. The intern will refine research questions, review literature, extract and validate data, perform descriptive analyses, interpret findings, create visualizations, and present results to technical and nontechnical audiences. The role includes collaboration with research and cross-functional teams, documentation, project planning, and SharePoint knowledge-resource updates.

Lead data analytics strategy, mine and analyze large-scale datasets, build and validate models, improve reporting and operational processes, evaluate products and marketing initiatives, and consult on data systems. Manage and mentor junior analysts, collaborate across business units, oversee concurrent projects, and apply business intelligence tools to support customer experience and organizational decision-making.

Leads commercial analytics and optimization across pricing, promotions, forecasting, financial modeling, and business intelligence. Develops analytical models, evaluates promotional effectiveness, monitors commercial KPIs, and creates dashboards and performance scorecards. Translates complex data into actionable recommendations for Commercial and Operations leaders, validates reporting data, and identifies revenue and profitability opportunities. Manages and develops a Reporting Analyst while partnering with cross-functional teams on continuous improvement.

Leads commercial analytics, pricing optimization, promotional effectiveness measurement, forecasting, financial modeling, dashboards, and performance reporting. Translates transaction and product data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, evaluates vendor-funded programs, and manages a Reporting Analyst.