Top Analytics Manager Jobs in Chicago, IL

Lead Oracle Analytics reporting and analytics workstreams for client implementations. Manage consulting teams and client relationships, gather requirements, design dashboards and reports, oversee data integration and governance, manage project scope and budgets, mentor consultants, and support proposals and business development. The role partners with Oracle ERP, HCM, SCM, and EPM teams to deliver integrated analytics solutions and requires up to 50% travel.

Leads payer deal intelligence, financial modeling, market analysis, and negotiation decision support for pharmacy reimbursement agreements. Builds multi-year scenarios, sensitivity analyses, and pre-negotiation packages; recommends deal positions and walk-away points to senior leaders. Manages concurrent analytical deliverables, translates quantitative findings into executive recommendations, and supports cross-functional finance and payer strategy forums.

Leads strategy consulting initiatives for pharmaceutical and life sciences clients, focusing on customer experience, journey mapping, segmentation, customer data management, and engagement strategies. Manages client accounts, project planning, budgets, execution, stakeholder relationships, quality, and timelines. Coaches and mentors consulting teams while identifying opportunities for business growth and driving data-informed customer-centric improvements.

Leads fraud and risk-focused data science initiatives, using Python and advanced analytics to generate strategic insights and improve business performance. Manages client engagements, data pipelines, project execution, and teams while mentoring staff and resolving stakeholder issues. Responsibilities include building data architectures, developing visualizations, improving processes, and maintaining professional, technical, and independence standards.

Leads client-focused data analytics initiatives within PwC’s Risk & Regulatory practice. Develops business intelligence, visualization, and advanced analytics solutions using Python, Oracle Business Intelligence, QlikView, and Spotfire. Builds stakeholder relationships, validates outcomes, drives process improvement, and applies systems thinking to solve complex business challenges. Oversees scalable deployments and coaches teams through ambiguous situations while delivering strategic insights and improved client performance.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

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.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Leads marketing analytics and measurement across growth marketing, from campaign spend through pipeline and revenue. Owns dashboards, attribution, ROI, CAC, LTV, forecasting, budget analysis, experimentation, and data quality. Partners with Growth Marketing, Finance, RevOps, Business Intelligence, and Marketing Operations to improve reporting, automate workflows, and apply AI, machine learning, and predictive modeling to generate actionable insights and optimize investment decisions.

Lead identification and quantification of issuance leakage across acquisition, application, approval, and funding funnels. Analyze digital customer journeys and conversion gaps, run root-cause diagnostics, design experiments, build executive dashboards, and translate findings into prioritized, quantified business recommendations partnering with Product, Marketing, Credit Risk, Operations, and Engineering.

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.

Lead independent validation and governance of credit and fraud models, build automated Python monitoring for model drift and performance, drive remediation with model developers, and liaise with audit and regulators to support Affirm Bank's model risk management.

Develops and maintains Tableau-based risk dashboards, reports, and visualizations using GRC data. Translates business requirements into reporting solutions, builds data extracts and queries, analyzes enterprise risk trends and key risk indicators, and presents findings to senior stakeholders. Collaborates with governance, risk, and data teams on system changes and supports risk-informed decision-making.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted 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 a team of data analysts while delivering business intelligence and analytics initiatives. Owns Tableau administration, governance, permissions, licensing, dashboards, and platform strategy. Partners with Marketing, Product, Operations, and Finance, with primary responsibility for marketing analytics, attribution, and campaign measurement. Translates complex data into actionable recommendations, partners with Data Engineering on data quality, and drives stakeholder adoption of analytics products.

Leads executive reporting and analytics for physician compensation, productivity, market benchmarking, trends, variances, and economic drivers. Builds repeatable datasets, dashboards, templates, and reporting processes; validates and reconciles data; investigates outliers; and translates complex analyses into executive-ready presentations and recommendations. Partners with Provider Rewards, Finance, Operations, and data owners while providing ad hoc decision support to senior leadership.

Own analytics product initiatives from discovery through launch and iteration. Translate customer needs, business goals, and data into product requirements, prioritize backlogs, and collaborate with Engineering, Data Science, UX, and stakeholders. Track adoption and impact while improving analytics and AI-enabled capabilities. Ensure data quality, privacy, transparency, and user trust across healthcare education products.

Own analytics product initiatives from discovery through launch and iteration. Define user needs, prioritize opportunities, write requirements, and collaborate with Engineering, Data Science, UX, and business teams. Use analytics and AI to improve workflows and decision-making while considering data quality, privacy, transparency, and trust. Track adoption and impact to guide ongoing product improvements.

Leads consultative sales of research and analytics solutions to academic institutions across the United States. Responsibilities include meeting sales targets, developing pipelines, expanding existing accounts, acquiring new business, designing value-added solutions, presenting to senior stakeholders, forecasting, negotiating, and collaborating with account managers and cross-functional teams. The role is remote with travel of up to 50% within the United States.

Lead marketing strategy, analytics, and GTM operations for Twilio.org’s Social Impact team. Build investment proposals, ROI models, attribution frameworks, account-tiering logic, automated marketing triggers, executive scorecards, and pipeline-generation programs. Partner with marketing and data science leaders to optimize budgets, campaigns, routing, and commercial performance. Maintain Looker, Tableau, Salesforce, and analytics infrastructure while modernizing SQL-based reporting and data quality processes.

Leads analytics for SEO, AI search, website experience, CRO, and the organic enrollment funnel. Diagnoses performance across traffic, visibility, conversions, leads, applications, and enrollments; designs measurement approaches; reconciles web, search, CRM, and platform data; defines KPI and reporting requirements; and translates findings into executive recommendations. Partners with analytics and engineering teams to build scalable Databricks-based reporting and improve measurement of organic and AEO initiatives.

Own and build the AI Simulation marketing operations and analytics function, including martech architecture, campaign instrumentation, attribution, funnel reporting, lifecycle programs, lead scoring, data governance, and Salesforce integrations. Partner with Marketing, RevOps, Sales, Finance, and Product to establish trusted measurement, connect marketing activity to pipeline and revenue, and improve investment decisions through reporting and actionable insights.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Lead a team to analyze large-scale datasets, build and validate models, improve reporting and operational efficiency, design data/storage systems, run strategic tests, and collaborate across business units to drive analytics strategy and customer experience.