Associate Manager - Revenue Growth Management

PepsiCo Inc.

Hyderabad

On-site

INR 900,000 - 1,300,000

Full time

14 days+
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Job summary

PepsiCo Inc. in Hyderabad seeks an Associate for Brand Ladder / Price Pack Architecture (PPA) Playbook. You will analyse brand ladder, price pack architecture, and promotions to optimize brand equity and profitability. You’ll develop models, dashboards, and data-driven insights for cross-functional teams.

The role emphasizes advanced analytics, collaboration on RGM projects, and driving revenue realization through data-driven pricing strategies in a fast-moving consumer goods environment.

Qualifications

  • Experience in data analysis for Consumer Insights or FMCG preferred.
  • Strong pricing and promotions management experience.
  • Experience in Revenue Management and promotions.
  • Excellent visualization and Excel skills.

Responsibilities

  • Perform advanced analytics using Tableau/Power BI and develop predictive models and elasticity analysis.
  • Collaborate on RGM strategic projects to drive revenue realization.
  • Conduct trend analysis to identify market opportunities and actions.
  • Monitor KPI metrics and identify correlations to support decisions.
  • Design dashboards to accelerate information-to-action for stakeholders.
  • Develop reports for BI, reporting, and insights across teams.
  • Support SLA-compliant data submissions to Revenue Management teams.
  • Assist COE associates with training and capability development.

Skills

Data analysis
Pricing & promotions
FMCG knowledge
Data visualization
Excel
Power BI
Team collaboration
Communication

Tools

Tableau
Power BI
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 visualization dashboards to accelerate information-to-action at scale, enabling easy access to critical insights for various stakeholders
  • Develop programs, methodologies, and reports for analyzing 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
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