Commercial Ops Intern

Job Description

Job title: Analyst III — Revenue Growth Management (RGM) — B14 
You will support Emerging Markets on pricing, mix management and promotion strategy 
to maximize net revenue, brand equity and consumer engagement. Using statistical and 
predictive models (Linear Regression, elasticity, promo optimization) and visual 
analytics, you will translate complex data into actionable pricing and promotion 
recommendations, dashboards and decision tools that influence commercial planning 
and the promo calendar. 
Key responsibilities: 
• Build, validate and present Linear Regression and predictive models – Time 
Series Models (price elasticity, promo lift, mix performance) using Python or 
alternative tools to inform pricing and promotional decisions. 
• Good to have knowledge on Streamlite, Handling and creating API 
• Conduct market, competitive and consumer behaviour analysis to identify Price 
Pack Architecture (PPA) and brand ladder opportunities. 
• Drive promotions optimization: evaluate promo tactics, design tests, 
recommend promo calendar changes and prioritize trade terms to maximize 
NRR. 
• Design, build and maintain automated reports to accelerate insights-to-action at 
scale. 
• Develop KPIs, monitor performance, identify root causes and recommend 
corrective actions for sector/market performance. 
• Support sector RGM strategic projects (promotions optimization, competitor 
benchmarking, PPA initiatives) end-to-end. 
• Collaborate cross-functionally with Insights, Sales, Trade Marketing and Finance 
to align pricing strategies with commercial objectives and regulatory 
requirements. 
• Ensure timely delivery of analyses and reports in line with SLAs and improve the 
utility of operational/performance data across teams. 
• Contribute to capability building: assist in training COE associates and 
document methodologies and playbooks. 
Must-have qualifications & experience: 
• 3–4 years’ experience in Revenue Growth Management, pricing & promotion 
analysis, or related RGM strategic projects (FMCG/CPG preferred). 
• Practical experience with regression modelling, price elasticity, promo analysis 
• Tools – Well versed with Python, SQL and Power BI 
• Ability to translate Business requirement into technical requirements 
• Proven ability to translate complex analytics into clear, actionable commercial 
recommendations and stakeholder-ready presentations. 
• Comfortable working to SLAs and tight deadlines; strong attention to detail and 
numeracy. 
• Excellent communications skills 
Preferred qualifications: 
• Background in consumer insights, trade marketing, key account management or 
CPG consulting. 
• Experience designing Price Pack Architecture (PPA) and promo calendar 
optimization. 
• Familiarity with SQL and statistical modelling packages; experience with 
enterprise BI/reporting environments. 
• Prior experience supporting Emerging Markets or regional RGM programs is a big 
plus. 
Skills & competencies: 
• Strong analytical and statistical thinking with hands-on modelling capability. 
• Excellent data visualization and storytelling skills; able to influence stakeholders 
with insight. 
• Collaborative team player who works effectively across multifunctional teams. 
• Organized, proactive, and able to balance short-term priorities with long-term 
strategy. 
• Good project management skills and experience delivering under SLAs. 

Location(s)

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.