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Open nowPosted 2 days ago

Commercial Analyst

Yum!161 open roles

Where
Gurgaon, Haryana, India
Work mode
Hybrid
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Your applicationOpen nowCommercial AnalystYum! · Gurgaon, Haryana, India

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Yum! postings stay open a median of 19 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 2 days ago

Yum! median: 19 days open

The posting

Job Description

About the Role This is an early-career commercial strategy and analytics role for candidates who enjoy structured problem solving, working with data and turning analysis into a clear business recommendation. You will work in a consulting-style project environment alongside NRM Strategy, Finance, Consumer Insights and Data & Revenue Science teams, supporting projects from problem definition through executive-ready recommendations. The role is especially suited to high-potential candidates from leading Indian business schools, consulting/analytics teams, commercial finance or consumer businesses who want broad exposure to Revenue Growth Management (RGM), strategic pricing and growth strategy.

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.

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