Top Analytics Jobs in Chicago, IL

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.

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 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.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

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.

Develops omnichannel analytics reports, dashboards, and visualizations; writes complex SQL queries; cleans and analyzes data; evaluates A/B tests; monitors digital performance metrics; and delivers actionable insights and recommendations to cross-functional stakeholders. The role supports data strategy, self-service reporting, business requests, and analytical projects while communicating findings to technical and non-technical audiences.

Leads fraud analytics and fraud-vendor solution implementation across the enterprise. Identifies emerging fraud patterns, develops detection models, metrics, rules, scenarios, and controls, and applies statistical and data-mining techniques to mitigate risk. Partners with Fraud, Product, Technology, and business leaders, supports strategic initiatives, presents actionable insights, manages implementation, and serves as a subject matter expert in fraud data, modeling, governance, and criminal risk mitigation.

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.

Own revenue forecasting models, pipeline analytics, and commercial performance insights across a global flexible-workspace network. The role integrates data from Salesforce, Looker, Snowflake, and spreadsheets; analyzes pricing, conversion, sales velocity, unit economics, and marketing and sales efficiency; partners with Finance and commercial leaders on budgets and planning; and communicates findings through actionable memos and presentations.

Leads the strategy, team development, and execution of GEICO’s performance marketing analytics function. Builds measurement frameworks, incrementality testing, anomaly detection, and marketing-spend optimization across search, SEO/AEO, programmatic, social, email, and direct mail. Partners with executives to translate analytics into decisions, establishes governance and quality standards, and applies AI and LLM-assisted workflows to improve insight generation and team effectiveness. Recruits and develops managers and channel specialists while aligning with broader data science, engineering, and business intelligence teams.

Leads retention analytics strategy for marketing, including causal measurement, holdout and test-control design, forecasting, scorecards, segmentation, business cases, and churn insights. Partners with senior marketing, Data Science, Business Intelligence, and Data Operations stakeholders to improve retention decisions. Builds automated reporting, establishes metric and quality standards, evaluates data and tools, and presents executive-ready recommendations. Requires hands-on analysis in renewal or subscription businesses and strong SQL, BI, and Python or R skills.

Own analytics for GEICO’s aggregator, vertical search, marketplace, and lead-generation partners. Build scorecards, analyze quote-to-purchase funnels, measure incrementality, evaluate bidding and partner economics, monitor data integrity, and recommend investment and negotiation strategies. Partner with marketing, finance, business intelligence, and external partners to automate reporting, improve tracking, forecast performance, and influence senior leadership decisions.

Owns paid search measurement and analytics across Google, Microsoft, and emerging platforms. Responsibilities include incrementality testing, attribution reconciliation, anomaly detection, bidding and budget optimization, forecasting, pacing, reporting automation, and performance recommendations. Partners with marketing, finance, business intelligence, agencies, and senior leadership to establish measurement standards and guide investment decisions.

Leads development and ongoing management of an enterprise money movement fact base. Integrates payment, transaction, product, system, platform, operational, and roadmap data across business lines. Establishes data structures, taxonomies, governance, and quality standards; analyzes complex datasets; identifies optimization and modernization opportunities; and develops recommendations for strategy and investment decisions. Presents findings to senior stakeholders while overseeing enterprise money movement analysis and related requests.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, establish metrics, build reports, conduct analyses and experiments, and deliver actionable recommendations. Partner with stakeholders to influence decisions and drive initiatives through execution. The role requires strong analytical problem-solving, independent data work, persuasive communication, and ownership of ambiguous business challenges.

Leads marketing analytics for global clients by developing measurement frameworks, integrating data, generating consumer insights, and evaluating cross-channel performance. Partners with creative, media, strategy, planning, and business intelligence teams to guide marketing and communications decisions. Oversees, mentors, and develops analysts while managing multiple client-facing workstreams and applying storytelling and data visualization to business challenges.

Supports disputes consulting projects by acquiring, loading, validating, and analyzing large financial, operational, and transactional datasets. Responsibilities include quantifying damages and exposures, tracing funds, performing quality control, communicating analytical findings, and preparing client-ready deliverables for legal and regulatory matters.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

The Media Analytics Manager analyzes Amazon Media data, develops audience and performance insights, and recommends media optimizations supporting brand strategy and marketing KPIs. Responsibilities include championing Amazon Marketing Cloud adoption, synthesizing paid and organic media trends, evaluating media tests, monitoring competitive and retail activity, and translating analyses into actionable recommendations. The role also supports cross-functional program management with internal teams, Amazon, and agency partners.

Own the analytics function supporting fraud, credit risk, and operations. Build automation, reporting infrastructure, fraud-rule backtesting frameworks, risk-label systems, dashboards, and AI-assisted tools. Partner with stakeholders to identify high-impact opportunities, reduce manual work, and track hours saved. This hands-on individual contributor role has managerial scope and includes defining a new analytics function.

Performs audit-focused data extraction, analysis, and reporting using SQL, R, Python, SAS, Posit, and Snowflake. Supports internal and external audits, legal, compliance, and investigations by transforming complex datasets, identifying risks and trends, reviewing data models and process flows, and providing code feedback. Requires 5+ years of data analysis experience, a relevant bachelor’s degree, and strong querying and project management skills.