Functional SME – FMCG Panel Data, Revenue Growth Management

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

💵 ₹700k - ₹1.6M / year

⏰ Full Time

🟠 Senior

🔴 Lead

📈 Growth Marketing

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Act as a Functional Subject Matter Expert for FMCG panel data, commercial analytics, and Revenue Growth Management • Analyze FMCG panel data to understand market performance, category trends, brand performance, channel dynamics, consumer behavior, and competitive positioning • Develop and support RGM initiatives covering pricing, pack-price architecture, promotions, assortment, mix optimization, and trade investment effectiveness • Translate business requirements into analytical frameworks, data requirements, KPIs, and actionable insights • Work with large and complex datasets to identify revenue growth opportunities, performance gaps, and market trends • Use Python and data analytics techniques for data preparation, exploratory analysis, statistical analysis, automation, and insight generation • Collaborate with data engineering and technology teams to define data structures, validation rules, transformations, and analytical requirements • Build analytical models and dashboards to monitor volume, value, market share, price realization, promotional uplift, distribution, and profitability • Evaluate pricing and promotional effectiveness and provide recommendations to improve revenue, margins, and market performance • Support scenario analysis and business simulations for pricing, promotions, assortment, and other commercial decisions • Ensure data quality, consistency, and accuracy across panel datasets and analytical outputs • Present findings and recommendations to senior stakeholders in a clear and commercially relevant manner

🎯 Requirements

• 8–14 years of experience in FMCG, Consumer Goods, Retail Analytics, Commercial Analytics, or related domains • Strong expertise in FMCG Panel Data, including interpretation, analysis, validation, and application of syndicated/market data • Strong understanding of Revenue Growth Management (RGM) principles and commercial levers • Hands-on experience with pricing, promotions, assortment, trade spend, category performance, and mix optimization • Strong proficiency in Python and Data Analytics, including data manipulation, analysis, automation, and statistical techniques • Strong understanding of FMCG KPIs, market dynamics, sales performance, and consumer/category trends • Ability to translate complex analytical findings into clear business recommendations • Excellent stakeholder management and communication skills, with the ability to work effectively with both business and technical teams • Experience with Pandas, NumPy, SQL, Power BI, Tableau, or similar analytics platforms • Exposure to advanced analytics, predictive modeling, or machine learning • Experience working with syndicated data providers and large-scale consumer or retail datasets • Understanding of category management, sales planning, demand analytics, or commercial strategy • Bachelor’s or Master’s degree in Business, Economics, Statistics, Mathematics, Data Science, Engineering, or a related discipline