Associate – Retail Improvement

• Analyze financial and operational data to identify cost savings, performance gaps, and improvement opportunities
• Build and maintain financial models, forecasts, and value capture frameworks
• Conduct market, competitor, and operational research across retail and consumer sectors
• Translate analysis into client-ready presentations, data visualizations, and written deliverables
• Contribute to diagnostics related to supply chain, merchandising, store operations, labor, pricing, and omnichannel performance
• Partner with consultants and client teams on work streams and deliverables from concept through implementation
• Leverage AI tools to accelerate research, analysis, and problem-solving while applying professional judgment
• Support retailers, consumer brands, and private equity clients with operational and financial challenges
• Travel to local and non-local client sites as needed, with expected client travel up to 80%

• Progress toward a Bachelor's degree in mathematics, operations research, business, economics, finance, industrial engineering, or a related field
• Expected graduation date between Spring 2027 and Summer 2027
• GPA of 3.6 or higher is highly desirable
• 0–2 years of prior work or internship experience
• Retail, direct-to-consumer, or consumer goods experience through internships, coursework, or extracurricular projects is preferred
• Strong Excel and PowerPoint skills required
• Experience with SQL, Python, R, Tableau, Alteryx, or other analytical tools is a plus
• Comfort leveraging generative AI tools such as ChatGPT, Copilot, or Claude responsibly in a professional context
• Ability to structure ambiguous problems, analyze large data sets, and think logically about solutions
• Strong written and verbal communication skills and ability to present findings clearly to teammates and clients
• Ability to work in a dynamic environment, take ownership, manage multiple priorities, and learn through feedback
• Ability to submit verification of legal right to work in the United States without company sponsorship now or in the future
• Expected client travel up to 80%

Demonstrates strong analytical capabilities in financial modeling, data analysis, and market research, with proficiency in Excel and PowerPoint. Leverages AI tools for enhanced problem-solving and communication skills to present findings effectively to clients.

• Financial Modeling
• Data Analysis
• Excel
• Power Point
• SQL

• Financial Modeling
• Data Analysis
• Market Research
• Forecasting
• Value Capture Frameworks
• SQL
• Python
• R
• Tableau
• Alteryx

• Strong Written Communication
• Strong Verbal Communication
• Problem-Solving
• Ownership
• Adaptability

• Retail
• Consumer Goods
• Direct-to-Consumer
• Operational Challenges
• Financial Challenges
• Omnichannel Performance
• Supply Chain
• Merchandising
• Store Operations
• Pricing

• Excel
• Power Point
• SQL
• Python
• R
• Tableau
• Alteryx
• ChatGPT
• Copilot
• Claude