Top Analytics Manager Jobs in Chicago, IL

Own the end-to-end analytics function for a business area (growth, product, AI, or partnerships). Define problems and decisions, build metrics and reports, run analyses and experiments, surface insights, and drive cross-functional recommendations through to execution.

Embed within a core business area to define problems, build metrics and reports, run analyses and experiments, surface insights, make recommendations, and drive cross-functional execution to improve product, growth, AI/automation, or partnerships.

Embed within a core business area to define problems, build metrics and reports, run analyses and experiments, surface insights, and drive recommendations end-to-end to influence product, growth, AI, or partner decisions.

Embed with a core business unit to define problems, build metrics, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, or partnerships.

Lead BI developer who owns reporting infrastructure end-to-end: SQL-based data extraction from messy sources, LookML/BI model development, dashboard standardization, stakeholder partnership, and performance marketing optimization to drive actionable insights and business outcomes.

Own Growth Marketing analytics and data operations: build and maintain full-funnel reporting, ensure data governance and attribution, manage segmentation and Pardot audiences, maintain executive BI dashboards, partner with IT and Sales Ops, direct offshore data resources, and implement AI-assisted workflows to automate analytics and QA.

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.

The Finance Manager oversees financial management for Cloud Infrastructure and AI portfolios, focusing on budgeting, cost efficiency, and financial strategy.

Lead revenue operations and business insights by owning GTM and revenue data integrity. Build reporting and AI-driven insights, run billable usage analysis, manage data flows with Fivetran/Salesforce/Sigma, investigate billing disputes, and translate data into actionable narratives for leadership.

Lead sales forecasting cadence, territory optimization, and quota alignment. Produce actionable BI insights, maintain forecasting policy and single source of truth, and partner with Sales, Finance, and Analytics. Drive process automation and apply AI tools to improve forecast accuracy and operational efficiency while supporting sales execution and mid‑year adjustments.

Lead data product strategy and execution for analytics deliverables (dashboards, pipelines, reports). Prioritize with stakeholders, translate needs into requirements, work hands-on with SQL and Python, monitor pipelines, and measure clinical, operational, and financial impact.

Lead development of auto loan pricing and origination analytics, build financial and risk models, create pricing strategies, partner with FP&A/Treasury/Risk, present to senior leadership, mentor team members, and apply AI for data analysis.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.

Lead a Data & Analytics Center of Excellence to build governed data products, migrate legacy platforms to Azure/Fabric, manage SI governance and delivery quality, enable self-service analytics and data literacy, partner with business stakeholders, and mentor a team of BI engineers and analysts to deliver strategic, cross-functional data solutions.

Serve as a senior FP&A consultant for private equity-backed portfolio companies, building forecasting and reporting models, performing profitability and operational analysis, managing stakeholders, delivering FP&A deliverables, improving processes and data analytics, and leading project workstreams and internal/external resources.

The Senior Manager, Product Marketing - Analytics will support analytics solutions, collaborate with various teams, and strategically position products in the market while managing projects and enhancing team effectiveness.

The Senior Data Analytics Manager leads analytical initiatives for Student Success Center operations, translating operational needs into data-driven insights to enhance agent performance and student outcomes through frameworks and dashboards.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Lead a team of analysts in Fraud & Safety operations, defining KPIs, designing experiments, optimizing performance, and enabling data-driven decisions globally.

Lead product strategy for Analytics and Experiments, owning roadmaps for charts, benchmarking, dashboards, predictive LTV, and experimentation infrastructure. Partner with engineering and data teams to design, ship, and iterate on metrics, A/B tests, targeting, rollout, and insights to help developers grow revenue.

Lead implementation and optimization of a fraud orchestration platform; perform advanced fraud analytics, develop detection models, rules and scenarios; support investigations and vendor onboarding; translate analytic insights into executive recommendations; collaborate with Fraud, Product, Technology, and Business stakeholders to reduce fraud losses and drive enterprise-wide controls.

Lead sales performance analytics, forecasting, and reporting to improve forecast accuracy and sales effectiveness. Build executive dashboards, predictive models, and pipeline analytics; partner with Sales, Finance, and Operations on compensation, CRM governance, and cross-functional alignment. Drive data-driven recommendations, automation, and continuous improvement to increase revenue predictability and sales execution.

The role involves leading analytics for product and marketing, defining measurement strategies, running experiments, and developing predictive models to optimize growth and performance.

The Product Manager will lead growth initiatives, run experiments, build dashboards, investigate metrics shifts, and maintain product documentation, aiming to enhance user engagement and retention.

Lead AI adoption and enablement across the business by building capability, governance, and reusable patterns; design and operationalize agentic AI solutions, copilots, and human-in-the-loop workflows; partner cross-functionally to prioritize, scale, and embed AI into analytics, processes, and platforms while measuring adoption and business impact.