This role involves building and validating predictive models using data analytics to inform pricing decisions, optimize promotions, and enhance revenue growth. Responsibilities include conducting market analysis, collaborating across teams, and maintaining automated reports while supporting strategic projects.
Job Description
Key responsibilities:
•
Build, validate and present regression and predictive models (price elasticity, promo lift, mix performance) using Python/R or alternative tools to inform pricing and promotional decisions.
•
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
•
Strong data analysis and visualization skills - advanced Excel + PowerPoint; experience with Power BI or Tableau
•
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)
Ahmedabad - Venus Stratum GCC
Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.
Key responsibilities:
•
Build, validate and present regression and predictive models (price elasticity, promo lift, mix performance) using Python/R or alternative tools to inform pricing and promotional decisions.
•
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
•
Strong data analysis and visualization skills - advanced Excel + PowerPoint; experience with Power BI or Tableau
•
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)
Ahmedabad - Venus Stratum GCC
Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.
Top Skills
Excel
Power BI
PowerPoint
Python
R
SQL
Tableau
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