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Conducts quantitative supply chain analyses involving inventory, procurement, costs, service, and operational performance. Cleans and validates large datasets, builds models and scenario tools, creates dashboards, identifies trends and root causes, and translates findings into client recommendations. Presents insights to clients and senior consultants while managing analytical workstreams, quality control, and deliverables in a collaborative consulting environment.

Conduct research and analysis for consulting projects using spreadsheets, databases, statistical methods, process mapping, interviews, literature, internet research, and survey interpretation. Develop analytical models, client presentations, and project deliverables, then present findings to clients and senior consulting staff. Associate Consultants typically support one or two project teams, gain client exposure, and work collaboratively in a hybrid office and travel environment.

Support client supply chain engagements involving inventory optimization, procurement, warehouse and transportation analysis, network strategy, and operational improvement. Analyze complex datasets, diagnose root causes, quantify opportunities, develop recommendations, create client-ready presentations and dashboards, present findings, and manage assigned project workstreams. Apply supply chain best practices and benchmarks while collaborating with consulting leaders and client teams.

Leads day-to-day execution of strategy consulting and M&A advisory engagements. Owns commercial due diligence workstreams, conducts market sizing, competitive benchmarking, revenue analysis, customer research, and management discussions. Oversees junior analysts, coordinates stakeholders, manages timelines, validates data, ensures deliverable quality, and synthesizes findings into actionable transaction insights and risk/opportunity narratives.

Conduct primary and secondary research, design and run quantitative analyses and models, summarize findings, author client deliverables, and present recommendations. Support multiple project teams, perform sensitivity and assumption testing, and travel to client sites as needed.

Conduct market research and quantitative analyses, build financial and statistical models, perform assumption testing and sensitivity analysis, synthesize findings, author client deliverables, and present results. Work involves client interaction, travel, and use of Excel/PowerPoint; programming (Python/R/SQL) and pricing experience are preferred.

Lead primary and secondary market research across multiple projects: conduct high-level B2B interviews, synthesize qualitative and quantitative findings, code open responses, build accurate client-ready presentation decks, support analysis with internal AI tools, and present insights in client meetings.