Top Analytics Manager Jobs in Chicago, IL

The Senior Manager, Marketing Analytics will lead AI-driven marketing analytics, develop performance metrics, and collaborate across teams to enhance data-driven decision-making.

Lead creation and delivery of recurring client reports and dashboards, translating campaign and website data into actionable insights. Manage dashboard development, ensure tracking and data quality (GA4, GTM), troubleshoot measurement issues, standardize and automate reporting workflows, and partner with media and development teams to improve reporting accuracy and usability for clients.

Lead development, validation, deployment, and quality control of advanced analytics and ML solutions for fraud detection, waste and abuse, investigative analysis, and program integrity. Provide technical leadership, translate stakeholder requirements, mentor team members, and ensure models are explainable, defensible, and production-ready.

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

Manage the design and delivery of reporting and analytics in Workday, lead data strategy, and optimize reporting tools. Partner with teams to ensure effective analytics implementation, focusing on security and standards.

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.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Translate web and marketing behavior data into actionable insights: measure website and marketing performance, analyze funnels and journeys, design and evaluate A/B tests, build reports and dashboards, monitor analytics integrity, and partner with cross-functional teams to define measurement and optimization opportunities.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

Lead paid media analytics for performance marketing: build SQL-based reporting and Power BI dashboards, validate agency/platform data, run deep-dive diagnostics across paid channels, support experimentation and MMM inputs, and provide actionable media investment recommendations to improve lead quality and enrollment outcomes.

Own and build customer health, usage/adoption, and product configuration data models. Produce ad-hoc and recurring analyses to identify upsell/expansion opportunities, partner with CS, Sales, Product, and Data teams, and present actionable insights to leadership to drive revenue-relevant actions.

Lead marketing AI deployment and measurement: identify and prioritize AI opportunities, manage cross-functional rollouts, build attribution and KPI reporting in Power BI, improve data architecture and quality, run journey and lead-scoring analyses, and shape GTM tools and processes to optimize pipeline and revenue.

Own and scale the finance and accounting data ecosystem: design and maintain BigQuery integrations, ensure data integrity and governance, build reconciliations and automated controls, develop scalable reporting and dashboards, support monthly close, forecasting, budgeting, and automate finance processes to improve visibility and efficiency.

Lead end-to-end analytical initiatives on partner enrollment funnels, ensure data quality, build reporting pipelines with BI/engineering, use AI-assisted tools to accelerate analysis, translate insights into strategic recommendations for leadership, and coach growing analytics team members.

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.

Own and execute marketing operations and analytics: manage martech systems and integrations (Marketo, 6sense, webinar tools), build and QA campaigns, develop reporting and Power BI dashboards, analyze funnel and ABX performance, refine attribution and scoring, and create scalable workflows, documentation, and enablement for global and regional teams to drive measurable GTM improvements.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Lead analytics for Community Marketing programs: define measurement frameworks, build Power BI dashboards, run analyses across referrals/events/COI, deliver executive insights, forecast leads/opportunities, and partner cross-functionally to optimize program performance and reporting.

Leads the Bank’s mortgage analytics and insights organization, overseeing managers and analysts who evaluate MPF and residential mortgage portfolios. Provides strategic analysis of portfolio performance, credit and market risks, mortgage trends, and regulatory developments. Advises senior leaders, regulators, rating agencies, and the Board; oversees reporting, regulatory submissions, advanced analytics, AI, automation, and process improvements. Responsible for organizational design, talent development, performance management, succession planning, and executive communication.

The Manager, Data & Analytics will generate insights, analyze data, collaborate across functions, and improve analytics practices, primarily in the banking sector.

Oversee client proposals and projects, enhance data processes, drive client engagement, mentor teams, and contribute to organizational development in the life sciences sector.

Embed within a core business unit to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive decisions end-to-end to improve growth, product, AI, or partnerships.

Embed with a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive decisions and execution across growth, product, AI, or partnerships.