Support end-to-end NRM projects, including problem definition, disaggregating issue trees, identifying key analyses, and structuring workstreams.
Conduct detailed data analyses including day-part analysis, menu architecture analysis, channel profitability analysis, cost of sales (COS%) and contribution margin analysis.
Analyze pricing, mix, traffic, and transaction data to identify opportunities for SSSG and AUV growth.
Perform data cleansing and validation across large datasets; slice and manipulate data using advanced Excel (pivot tables, lookups, scenario modeling).
Decode and analyze consumer survey data and market research to inform KVI strategy and value perception insights.
Develop clear, client-ready slides and data visualizations that translate analysis into structured insights and actionable recommendations within NRM frameworks.

Bachelor’s degree in Business, Finance, Economics, Engineering, or related analytical field.
At least 3 years of experience in management consulting, corporate strategy, analytics, finance, or related analytical roles.
At least 3 years of advanced Excel experience, including pivot tables, large dataset manipulation, scenario modeling, and structured analysis.
Experience building executive-ready PowerPoint presentations based on quantitative analysis.
Demonstrated experience working with structured problem-solving approaches (e.g., hypothesis-driven analysis, issue trees).
Experience in QSR, retail, consumer packaged goods, or multi-unit business environments.
Exposure to Revenue Growth Management (RGM), pricing strategy, menu engineering, or commercial analytics.
Experience analyzing consumer research or survey datasets.
Proficiency in data visualization tools (e.g., Tableau, Power BI) or SQL.

Net Revenue Management Business Analyst

Key skills