Job Description

This role is for one of Weekday’s clients

Min Experience: 8+ years
Location: India
JobType: full-time

We are looking for an experienced FMCG Functional SME – Revenue Growth Management (RGM) with 8–12 years of relevant industry experience to drive data-led commercial strategy, pricing, promotion, assortment, and revenue optimization initiatives. The ideal candidate will combine strong FMCG domain expertise with hands-on experience in NielsenIQ data and analytical capabilities, including Python-based Exploratory Data Analysis (EDA)

You will work closely with business, commercial, sales, marketing, category, and analytics teams to translate market and transactional data into actionable recommendations that improve revenue, profitability, market share, and promotional effectiveness.

Requirements

Key Responsibilities

• Act as a functional subject matter expert in FMCG Revenue Growth Management, providing strategic and analytical guidance across pricing, promotions, assortment, pack-price architecture, and trade investments.
• Analyze FMCG market and consumer data using NielsenIQ datasets to identify trends, growth opportunities, category dynamics, and competitive movements.
• Develop and evaluate RGM strategies covering price-pack architecture, price elasticity, promotional effectiveness, assortment optimization, and mix management
• Conduct detailed Python-based Exploratory Data Analysis (EDA) to identify patterns, anomalies, correlations, trends, and commercial opportunities within large datasets.
• Translate complex analytical findings into clear, actionable business recommendations for senior stakeholders.
• Partner with sales, marketing, category management, finance, and commercial teams to identify revenue and margin improvement opportunities.
• Assess pricing and promotion performance across products, brands, channels, regions, and customer segments.
• Build analytical frameworks and dashboards to monitor key RGM metrics, including revenue growth, volume, value share, price realization, promotional ROI, and profitability.
• Support scenario analysis and business planning by evaluating the potential impact of pricing, promotion, assortment, and portfolio decisions.
• Identify market whitespace and growth opportunities through competitive benchmarking and category-level analysis.
• Ensure analytical methodologies and RGM recommendations are aligned with FMCG commercial objectives and industry best practices.
• Present insights and recommendations effectively to business leaders and non-technical stakeholders.

Must-Have Skills

• 8–12 years of experience in FMCG, Consumer Goods, Revenue Growth Management, Commercial Analytics, Category Management, or a closely related domain.
• Strong hands-on expertise in Revenue Growth Management (RGM) principles and methodologies.
• Proven experience working with NielsenIQ data, market measurement solutions, and FMCG syndicated datasets.
• Strong understanding of FMCG pricing, promotions, assortment, product mix, channels, and market-share dynamics.
• Hands-on proficiency in Python for Exploratory Data Analysis (EDA)
• Strong analytical and problem-solving capabilities with the ability to work with large and complex datasets.
• Experience translating quantitative analysis into actionable commercial and business recommendations.
• Strong understanding of FMCG KPIs, including sales value, volume, market share, price, distribution, promotional performance, and profitability.
• Excellent communication and stakeholder-management skills.

Good-to-Have Skills

• Experience with price elasticity, demand modeling, promotional ROI, and price-pack architecture.
• Knowledge of other FMCG data sources and syndicated market research platforms.
• Experience with SQL, Power BI, Tableau, or other analytics and visualization tools.
• Exposure to advanced analytics, forecasting, machine learning, or statistical modeling.
• Experience working with multinational FMCG organizations and cross-functional teams.