Top Analysis Reporting Jobs in Chicago, IL

As a Product Analyst, you will analyze user behavior, influence product strategy through A/B tests, and collaborate across teams to drive insights and product improvements.

Lead and support client-facing research and measurement projects across Teads' Data Suite. Scope, execute, and analyze campaigns; advise on targeting strategy; support sales with RFPs and QBRs; collaborate cross-functionally to optimize campaigns and deliver actionable insights.

Lead people analytics by building dashboards, reporting tools, and workforce models; analyze complex HR data to deliver insights to leadership; partner with stakeholders to set roadmap; improve data quality, governance, and adopt AI/ML for workforce analytics.

Analyze key customer accounts to identify trends and sales opportunities, prepare account reporting and business reviews, evaluate pricing/margin impacts, support quotes and proposals, and manage project tasks and status updates.

Lead revenue data analytics by modeling, forecasting, and analyzing customer activities, while creating insights and reporting dashboards to guide decisions.

Collect and verify pricing data for ferrous and non-ferrous metals recycling, set price assessments per methodology and IOSCO principles, write market commentaries and breaking news, expand industry contacts, peer-review prices, support colleagues' pricing patches, engage with the market through events and webinars, and handle market inquiries while maintaining editorial integrity.

The Market Research Director manages client accounts, develops strategies, leads market research projects, and ensures timely deliverables while cultivating client relationships.

The Sr. Analyst will build reporting solutions, collaborate across teams, advocate for user-centered design, and drive employee development in data management.

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, and drive recommendations end-to-end to influence product, growth, AI, or partner decisions.