Top Analytics Jobs in Chicago, IL

The Senior Data Analyst transforms complex mortgage, financial, and operational data into actionable insights for the Mortgage Partnership Finance program. Responsibilities include portfolio and risk analysis, forecasting, dashboard and scorecard development, automated reporting, data validation, governance, and executive presentations. The role collaborates with Risk, Finance, Business Intelligence, Data Management, Member Services, and Mortgage Operations teams while mentoring junior analysts and interns.

This 12-week graduate internship involves developing healthcare analytics frameworks, performing exploratory analysis and statistical modeling, analyzing complex datasets, and building predictive or prescriptive models. Interns may apply machine learning, NLP, and responsible AI techniques, create dashboards and visualizations, communicate insights to business and clinical partners, and document reproducible methods. The role is primarily on-site in Louisville or designated hub locations and focuses on improving healthcare quality, outcomes, affordability, access, and member experiences.

Provides customized healthcare analytics using procedural, supply utilization, cost, outcomes, and performance data. Conducts advanced comparative analyses, identifies optimization opportunities, translates findings into recommendations, presents insights to clients and leaders, facilitates requirements meetings, ensures accurate reporting, and contributes to mentoring and best practices.

Leads complex healthcare analytics projects using clinical, administrative, claims, and related datasets. Develops advanced SQL queries, analytical methodologies, cohorts, outcomes, and segmentation approaches; investigates data anomalies; translates client needs into analytic requirements; validates deliverables through quality assurance; and collaborates with consultants, statisticians, and subject matter experts to produce actionable insights for strategic decisions, clinical quality improvement, and real-world evidence.

Leads digital analytics for Ford Pro Digital Product, translating stakeholder questions into measurement plans, KPIs, advanced journey analyses, dashboards, and actionable recommendations. The role uses SQL and digital analytics platforms to integrate behavioral, customer, transaction, and enterprise data. It also develops reusable analytical methods, automation, and AI-enabled workflows, partners with cross-functional teams, and presents findings to technical and executive audiences.

Serves as the technical and client-facing link between Inca Digital’s data engine and high-stakes financial and government clients. Conducts OSINT, web scraping, enhanced due diligence, blockchain and crypto investigations; analyzes large datasets; audits and synthesizes technical findings into intelligence reports; briefs executive stakeholders; and coordinates cross-functional teams to align products with client needs.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Leads a team of business and data analysts while owning the analytics roadmap for commercial, sales, and go-to-market functions. Translates business needs into analytical frameworks, KPIs, dashboards, models, and reporting strategies. Partners with senior stakeholders and cross-functional teams to drive data-informed decisions, governance, quality, and best practices. Provides mentorship, oversees solutions using modern data tools, and presents recommendations supporting planning, forecasting, and execution.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts.

Manages analysts and leads marketing analytics for digital and offline media channels. Develops measurement plans, experiments, dashboards, campaign reports, and optimization insights using marketing data. Presents recommendations to clients, supports media planning and new business pitches, ensures reporting accuracy, and advances analytics workflows through AI-enabled tools and automation. Requires strong web, social, SEM, dashboard, statistical programming, and marketing measurement expertise.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

Leads advanced analytics for Airbnb’s Community Blueprint Quality team. Responsibilities include diagnosing customer experience issues, designing experiments, applying causal inference, developing metrics, using LLMs to analyze unstructured data, building dashboards and analytical artifacts, and translating complex findings into recommendations for senior leadership. The role partners cross-functionally with Product, Engineering, Data Science, Data Engineering, Operations, and Finance.

Analyze and organize healthcare supply purchase and contracting data to identify gaps, validate accuracy, apply contract and benchmark information, and produce customized client reporting. Translate findings into clear, data-driven insights, support purchasing and contracting decisions, manage project schedules and data requests, and collaborate with internal and external partners while developing category and industry expertise.

Leads Cisco’s global compliance data analytics program, managing the Compliance Analytics & Enablement team. Develops multi-year analytics and AI/ML roadmaps, builds automated compliance risk monitoring and early-warning systems, integrates enterprise data sources, and delivers actionable insights to senior executives and the board. Partners with Legal, Compliance, Audit, engineering, and business teams to support compliance-by-design, regulatory risk mitigation, and data-driven decision-making.

Supervise analysts and reporting coordinators delivering accurate analytics, dashboards, and data outputs. Review and validate reports, lead complex data modeling and KPI initiatives, translate business questions into analytical solutions, improve query and reporting processes, and modernize the reporting stack through automation and self-service capabilities. Provide technical mentorship, establish data governance and documentation standards, manage performance, and support continuous improvement across the analytics function.

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.

Deliver transaction-focused data analytics for M&A engagements: extract, clean, model, and visualize large financial, customer, sales, pricing, and operational datasets using Python, Alteryx, SQL, and BI tools. Provide actionable insights on revenue, margin, profitability, and value-creation, communicate recommendations to clients, manage workstreams, mentor juniors, and support transaction lifecycle activities.

Collects, consolidates, cleans, analyzes, and visualizes experimental data from analytical equipment, test rigs, and pilot plants. Performs statistical analysis, anomaly detection, experimental design support, equipment validation, and QA/QC activities. Presents findings to technical leadership, identifies process improvements, and helps extract actionable insights from structured and spectral data.

Owns retention analytics for a new Loyalty & Retention organization, including churn definitions, survival analysis, forecasting, experimentation, acquisition attribution, satisfaction analysis, payment recovery, and save-desk performance. The role builds reporting and predictive models from scratch, partners with BI and actuarial teams, influences cross-functional decisions, and presents retention findings and forecasts to executives.

Analyzes web, customer, and campaign data to generate actionable digital marketing insights. Builds dashboards and presentations using Adobe Analytics, Power BI, or Tableau; evaluates site performance, media monetization, A/B tests, and web projects; supports tagging, reporting validation, and vendor implementations. The role partners with stakeholders and Agile teams, manages analytics priorities, and communicates findings to guide marketing strategy and business decisions.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.