Top Analytics Jobs in Chicago, IL

Leads the technical vision, architecture, and delivery of enterprise search analytics and ontology solutions for ecommerce. Manages and mentors software engineering teams, integrates platforms, oversees IT service operations and quality, and improves search relevance using NLP, vector search, personalization, machine learning, and performance KPIs. Partners with product, data science, and engineering leaders while driving ontology, metadata, governance, and semantic search adoption across digital commerce.

Develops fraud rules, models, dashboards, and strategies to reduce fraud losses. Analyzes emerging fraud trends, monitors KPIs, conducts ad hoc analysis, supports production deployments, and communicates findings to technical and business stakeholders. The Thursday-through-Monday schedule requires weekend availability, with a hybrid arrangement based in Chicago.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

Leads the commercial analytics function, developing advanced analytics frameworks, performance metrics, dashboards, forecasts, and strategic insights. Partners with senior leadership and cross-functional teams to optimize sales performance, resource allocation, commercial strategy, and operational efficiency. Oversees data quality, competitive analysis, sales compensation planning, analytical tools, and direct-report performance while promoting data-driven decision-making across the organization.

Analyzes funnel and loan performance metrics, builds automated SQL and Python reporting and alerts, evaluates trends and A/B tests, and recommends underwriting and product optimization strategies. Collaborates with cross-functional teams to implement changes, monitor releases, and assess impacts.

Supports the Marketing Analytics team by monitoring funnel metrics, analyzing performance with SQL and Python, identifying drop-off drivers, and communicating recommendations. Maintains dbt data models in Snowflake, enhances Periscope dashboards, and partners with Marketing, Risk, and Engineering on strategy changes, releases, testing, and impact analysis.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

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.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Leads data governance, risk mitigation, analytical tool validation, and program development for Global Payment Networks. Responsibilities include planning validation projects, assessing analytical methodologies and tool risks, researching industry practices, preparing reports and presentations, and coaching junior staff. The role requires managing concurrent projects and applying data analytics, risk management, statistical, and project management expertise to develop enterprise-wide controls and processes.

Leads enterprise analytics initiatives, partnering with senior leaders to define business questions, analyze complex datasets, conduct experimentation, develop dashboards, automate reporting, and deliver data-driven recommendations. The role influences growth, customer experience, operations, risk, technology, and banking decisions while mentoring analysts and advancing enterprise analytics capabilities.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Analyzes large healthcare and pharmacy benefits datasets to support client-specific pricing, plan designs, and RFP requirements. Partners with underwriting and strategic proposals teams to develop accurate analytical solutions, adjust analyses as assumptions change, and communicate complex findings clearly. Provides ad hoc reporting, supports specialty projects, prioritizes competing client requests, and contributes to process improvements while leveraging Excel, SQL, R, data modeling, and statistical analysis.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, experiments, and analyses; surface insights; make recommendations; and drive decisions and outcomes with cross-functional leaders. The role requires strong analytical problem-solving, independent data interpretation, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a core business area such as growth, product, AI, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leadership teams. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Lead data-driven analysis and business operations initiatives across marketing, product, and business development. Design and evaluate A/B experiments, identify acquisition and partnership growth levers, generate customer and performance insights, and automate manual processes. The role requires strong quantitative problem-solving, advanced SQL and data analysis skills, and the ability to communicate recommendations effectively from frontline teams to executives.

Leads the company’s analytics strategy, media analytics, web analytics, advanced modeling, experimentation, data governance, and analytics technology initiatives. Oversees analysis across television, streaming, audio, display, social, search, and web channels; interprets Media Mix Models; partners with senior marketing and media leadership; and manages, mentors, and develops a high-performing analytics team.

Provides customized healthcare operations analytics using Vizient and hospital data. Analyzes performance, costs, productivity, utilization, outcomes, supply use, and benchmarks; develops reports and actionable insights for hospital leaders. The role facilitates client meetings, translates findings into strategic and operational recommendations, ensures reporting accuracy, and contributes to mentoring and team best practices.

Supports consulting projects by gathering and preparing data, conducting foundational analysis, creating visualizations and reports, documenting requirements, mapping processes, assisting with testing, and communicating findings to clients and stakeholders. The intern uses SQL, spreadsheets, Python or R, BI tools, collaboration platforms, and AI-assisted methods to deliver data-driven insights and solution designs.

Analyze product and underwriting data to identify trends, develop metrics, conduct ad hoc queries, and support operational dashboards. Translate quantitative findings into actionable recommendations for leadership through data storytelling. The role requires collaboration with business teams, strong analytical problem-solving, and proficiency with Excel, PowerPoint, Python, or SQL.

Delivers data analytics for M&A, divestitures, transaction advisory, and post-acquisition value creation engagements. Cleans, models, and analyzes complex financial, customer, pricing, profitability, and operational datasets using Python, Alteryx, SQL, and related tools. Communicates transaction risks, performance drivers, and value creation opportunities through dashboards, visualizations, presentations, and client recommendations. Manages analytical workstreams, client interactions, deadlines, and junior team mentoring.

Provides strategic planning and advanced analytics support for healthcare clients through project-based engagements. Conducts market sizing, market scans, market share, competitive, and service line growth analyses; synthesizes data into actionable insights and recommendations for executive decision-making. Develops client deliverables and presentations, validates analytical outputs, manages data limitations, communicates findings, and supports team mentorship and best practices.