Top Analytics Manager Jobs in Chicago, IL

Embed with a core business unit to define problems, build reports, run analyses and experiments, surface data-driven insights, and drive recommendations through to measurable outcomes across growth, product, AI, or partnerships.

Lead embedded BizOps & Analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics/reports, run analyses and experiments, surface insights, and drive recommendations to stakeholders to improve key business outcomes end-to-end.

Client-facing Analytics Manager who architects large-scale digital analytics (GA4/Adobe), audits implementations, builds measurement frameworks, and leads GEO (Generative Engine Optimization) test & learn programs. Uses AI tools (Claude) to automate workflows, mentor teammates, manage projects, and translate data into strategic client recommendations.

Lead design, administration, governance, and analytics of sales incentive plans for Retail Branch and Business Banking. Translate executive strategy into measurable objectives, deliver performance reporting and strategic analytics, support decision-making with financial modeling, and ensure compliance, data integrity, and audit readiness across incentive programs.

Lead analytics for the Credit Card portfolio, partnering with Product, Engineering, Credit Risk, Fraud, and Marketing to deliver data-driven strategy. Perform ad-hoc and cohort analyses, design A/B tests, manage BI reports, drive portfolio growth and risk insights, and build scalable data solutions with Data Engineering. Influence executives through clear recommendations and leverage AI tools to accelerate analytics and self-service.

Serve as embedded BI lead for a divisional sales book, delivering actionable insights from syndicated and commercial data, leading opportunity analysis, training field teams, supporting Power BI reporting, and translating complex data into executive presentations to drive sales performance and planning.

Lead end-to-end category insights for strategic account chains using syndicated, retailer POS, and internal data. Develop analyses, reporting, and recommendations to drive sales and profit, partner with sales and BI, support category reviews and business planning, and present insights to stakeholders.

Serve as embedded BI partner for an assigned division, delivering actionable commercial insights from syndicated and internal data, leading opportunity analyses, training field teams, supporting Power BI reporting, and translating complex data into executive presentations to drive sales performance and program ROI.

Lead growth of client practice in Communications, Media & Technology by defining analytics strategies, developing thought leadership, and communicating data value. Lead and deliver large-scale, complex customer analytics engagements, including CRM modeling, reporting, and predictive analytics work, while mentoring teams and engaging with senior clients.

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.

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 marketing analytics, attribution modeling, full-funnel measurement, forecasting, experimentation, and ROI optimization across campaigns, partners, and field marketing. Build Tableau dashboards, ensure martech data quality, implement AI/ML predictive capabilities, and translate complex data into strategic recommendations for marketing leadership. Partner cross-functionally on performance narratives, QBRs, and budget planning while mentoring junior analysts and establishing analytics best practices.

Leads strategic insurance revenue analytics for executive leadership and Board requests. Builds financial models, scenario analyses, investment cases, and long-range forecasts; integrates internal financial data with external market intelligence; and develops CFO- and Board-ready PowerPoint materials. Partners across FP&A, identifies data and assumption risks, supports finance initiatives, and provides hypothesis-driven recommendations on growth, capital allocation, investments, and cost structures.

Leads commercial operations and analytics engagements for life sciences and pharmaceutical clients. Responsibilities include project and team leadership, data process enhancements, analytics and reporting oversight, client relationship management, proposal development, project financial management, business growth initiatives, and mentoring. The role requires pharma commercial expertise across data management, sales operations, commercial analytics, and BI/reporting, plus coding and data visualization skills.

Lead financial modelling and analytics for pricing, monetization, and strategic finance. Build scenario and profitability models, apply AI/ML (LLMs, predictive models) to accelerate modelling and reporting, deliver executive-ready profitability reporting, and partner with FP&A, Sales Ops, and GTM leaders to support strategic decisions.

Lead people analytics strategy and delivery of dashboards, reporting, and insights. Partner with HR and business leaders to analyze hiring, retention, diversity, engagement, and org health. Ensure HR data integrity and governance across systems, build executive-ready visualizations, and apply statistical and predictive methods to inform workforce planning and talent strategies.

Lead commercial analytics to measure ROI, uncover growth opportunities, and deliver actionable insights. Build dashboards, perform SQL-based analyses, improve data quality, support forecasting, and implement automation/AI to streamline workflows. Partner cross-functionally with Sales, Marketing, Finance and Strategy to influence revenue and retention decisions.

Partner with Corporate Partnerships to centralize data, design dashboards and analytics tools, automate workflows, optimize CRM, and lead cross-functional projects to drive data-informed partnership decisions.

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.

Manage 1–3 enterprise client measurement engagements, executing MMM, incrementality testing, and measurement roadmaps. Own workstream delivery, translate analytics into business recommendations, present to senior stakeholders, and manage 1–2 direct reports while developing team and client strategy.

Lead sales operations and commercial data analytics for three pharma products. Serve as CRM business lead, drive territory and sales force optimization, manage master data and external data vendors, implement data governance, and provide cross-functional analytical insights to support commercial objectives.

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

Manage and maintain 13-week, one-month, and 12-month cashflow forecasting models; deliver weekly liquidity performance analysis; support Americas cash management, FX trades, wire execution, bank account lifecycle and debt documentation; drive process standardization, optimization and automation for Treasury operations.

Serve as the primary analytics partner for Talent Sales and Marketing: deliver client-facing insights and pitch support, design measurement frameworks and benchmarks, build standardized analytics solutions, lead vendor/platform selection, document methodologies (sentiment, EMV, audience quality), and educate stakeholders while aligning analytics with business needs.

Lead and optimize new-customer onboarding to accelerate time-to-value. Instrument product flows, define and track activation metrics, run experiments, and translate behavioral insights into a prioritized roadmap. Collaborate with customer success, sales, support, data, and engineering to ship, measure, and iterate on features end-to-end.