Associate Manager - RGM

PepsiCo; Hyderabad; On-site; INR 700,000 - 1,300,000; Full time

Job summary

PepsiCo Hyderabad is seeking a Brand Ladder / Price Pack Architecture (PPA) Playbook Associate to analyze brand ladder, price pack architecture, mix management and promo strategy. The role relies on data-driven insights to optimize brand equity, profitability and consumer engagement.

You will develop models, dashboards and reports, collaborate with cross-functional teams, and contribute to long‑term pricing and revenue-management initiatives while ensuring compliance with regulatory requirements.

Qualifications

• Broader data analysis capabilities; experience in consumer insights or trade marketing.
• Experience in pricing and promotions management.
• FMCG sector knowledge and revenue-management exposure.
• Strong data visualization to drive decisions.
• Excel and PowerPoint; ability to learn in-house tools.
• Power BI knowledge is a plus.
• Ability to work cross-functionally and communicate clearly.

Responsibilities

• Perform advanced analytics with Tableau/Power BI and build predictive models.
• Collaborate on sector RGM projects: promotions optimization, pricing initiatives.
• Conduct statistical and trend analyses to identify opportunities.
• Monitor KPIs, develop new metrics, identify correlations and root causes.
• Design dashboards to accelerate insight-to-action for stakeholders.
• Develop reports and methodologies for data analysis and presentation.
• Support Revenue Management SLA submissions and BI efforts.

Skills

Data analysis

Consumer insights

Pricing & promotions

FMCG knowledge

Data visualization

Teamwork

Communication skills

Tools

Power BI

Excel

PowerPoint

Job description

Overview

RGM strategy Playbook - Associate plays a pivotal role in our organization, with a primary focus on brand ladder and price pack architecture analysis, Mix Management and Promo Strategy. This role encompasses a range of responsibilities related to optimizing our product and pricing strategies to maximize brand equity, profitability, and consumer engagement.

Key responsibilities of the Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate include:

• Conducting in-depth market research and data analysis to identify and evaluate brand positioning / price pack architecture opportunities
• Analyzing consumer behavior and preferences to gain insights into how our brand ladder / pricing strategies impact purchasing decisions
• Developing and refining brand ladder and PPA models and methodologies to streamline decision-making / enhance operational efficiency
• Collaborating with cross-functional teams to ensure that our brand and pricing strategies align with overarching business objectives and regulatory requirements
• Utilizing data-driven insights to enhance the overall consumer experience and perception of our brands and pricing structures
• Contributing to the long‑term brand and pricing strategy of the organization, actively participating in the creation of innovative approaches to optimize brand equity and profitability

The Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate leverages advanced analytical skills and tools to shape our brand and pricing strategies, ensuring they are aligned with our strategic goals, compliance standards, and customer satisfaction objectives

Responsibilities

Functional Responsibilities

• Perform advanced analytics using Tableau/Power BI and develop predictive models, regression modeling, price elasticity analysis, and promotion optimization to extract actionable insights from data
• Collaborate on sector RGM strategic projects, such as promotions optimization, terms priorities, competitor benchmarking, and Price Pack Architecture (PPA) initiatives, to drive revenue realization
• Conduct statistical and trend analysis to identify market opportunities, highlight sector strengths, and provide recommended corrective actions to enhance performance
• Monitor existing KPI metrics, develop new relevant metrics, and identify correlations and root causes to support data-driven decision‑making
• Design and build visual‑isation dashboards to accelerate information‑to‑action at scale, enabling easy access to critical insights for various stakeholders
• Develop programs, methodologies, and reports for analysing and presenting data, making data‑driven insights accessible and actionable
• Ensure the timely and accurate submission of reports and data to the Revenue Management teams in line with agreed Service Level Agreements (SLA)
• Improve the utility of operational and performance data within various teams, supporting Business Intelligence (BI), reporting, analysis, and insights efforts

Assist the GBS Commercial lead in developing an ongoing training and capability plan for COE associates, ensuring continuous growth and expertise development within the team

Qualifications

• Broader data analysis capabilities. Previous experience in Consumer Insights, Key account Management, Trade Marketing or CPG consulting
• Experience in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior
• Proven experience working in the Fast‑Moving Consumer Goods (FMCG) sector with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales
• Excellent visualisation skills with the ability to translate complex data into actionable solutions and processes, enabling data‑driven decision‑making
• Advanced proficiency in Microsoft Excel and a strong command of PowerPoint, with the ability to quickly learn various in‑house software applications for data analysis and reporting
• Working knowledge of Power BI software is added advantage
• Ability to function effectively in a team environment and collaborate with individuals across the organization, as pricing and promotions strategies often require cross‑functional teamwork
• Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner