commercial analyst

Responsibilities

 
Key Responsibilities:

•    Support end-to-end NRM engagements by helping define the problem statement, build issue trees, develop hypotheses, identify the analyses required and structure workstreams.
•    Analyze sales, transactions, traffic, average order value, mix, realized price, product and store performance across categories, channels, dayparts, occasions and customer/group-size segments.
•    Conduct core NRM analyses including menu architecture, price ladders, Good-Better-Best tiers, A La Carte / Everyday Value / Disruptive Value performance, KVI strategy, promotional effectiveness, competitor pricing and channel economics.
•    Evaluate cost of sales (COS%), contribution margin, unit economics and product profitability to identify growth opportunities that improve both consumer value and franchisee economics.
•    Clean, validate, reconcile and manipulate large datasets in Excel; use pivot tables, lookups, formulas and scenario analyses to turn raw data into decision-ready outputs.
•    Decode consumer research and survey results to understand value perception, willingness to pay, Key Value Items, occasions, channel preferences and pricing thresholds.
•    Partner with the Data & Revenue Science team on outputs such as elasticity, market basket, tiering and optimization; translate technical results into commercial insights and a clear "so what" for the business.
•    Build client-ready PowerPoint pages, charts and exhibits with answer-first headlines, clear logic and strong visual storytelling.
•    Support stakeholder interviews, market working sessions and workshops; capture inputs, synthesize themes and convert discussion into actions.
•    Own defined analyses or workstreams with strong attention to detail, process discipline, deadlines and output quality.
 

Qualifications

   Qualifications
•    MBA / PGDM / PGP from a leading Indian business school, or a strong undergraduate/postgraduate degree in Business, Economics, Finance, Engineering, Statistics, Analytics or a related field.
•    Typically, 0-4 years of relevant experience; strong campus candidates and early-career hires from consulting, analytics, finance, strategy, consumer or digital businesses are encouraged to apply.
•    Strong Excel capability, including pivot tables, lookups, large-dataset manipulation, data validation and scenario analysis.
•    Strong PowerPoint and business writing skills with the ability to build clean, executive-ready charts and slides.
•    Structured, hypothesis-driven problem solving; high curiosity, analytical rigor and attention to detail.
•    Clear written and spoken English and confidence engaging with stakeholders across different markets and cultures.