Associate Manager

Role Overview:

We are seeking a dedicated and innovative RGM Lead Consultant with 5 to 7 years of experience to join our dynamic team in Bengaluru. This role leads the design and delivery of an integrated Revenue Growth Management (RGM) decision engine that operates at the PPG/retailer level and connects insights to actions across the entire value chain. You will help our CPG and retail clients turn data into decisions across business diagnosis, shopper understanding, availability, assortment, price-pack architecture, pricing and promotions, retail execution, and value realization — powering their Annual Business Planning (ABP) and Joint Business Planning (JBP) cycles.

Key Responsibilities :

• Lead and mentor a team of analysts and consultants to develop and deploy advanced analytics that power an end-to-end RGM solution while fostering a culture of continuous learning and innovation.
• Drive business diagnosis by building category health, competitor, promotion / flyer-feature, rolling retailer-profit, and innovation-performance analyses that identify winners and drainers and answer "how is the business doing?"
• Translate shopper understanding into commercial action through occasion analysis and pack-switching studies that reveal who is buying, why, and what they need.
• Strengthen availability and replenishment with demand forecasting that improves fill rate and reduces out-of-stocks, ensuring the plan can satisfy demand.
• Optimize shelf and assortment through SKU prioritization and white-space detection to define what should be on the shelf and where unaddressed growth exists.
• Design price-pack architecture using PPA and pack analytics, pack-and-mix optimization, trade-up and cannibalization analysis, and mix-and-margin simulation to determine which packs should win were.
• Develop pricing and promotion recommendations — price-gap and price-recommendation engines, trade promotion and spend optimization (TPO / TSO), promo calendar and scenario planning, and offer / tactic optimization — that rank the best net-P&L levers while respecting that the retailer decides.
• Enable retail execution with execution trackers and feedback loops, pre / post-event tracking, and retailer scorecards and compliance to confirm plans are executed correctly.
• Measure value realization through attribution and impact measurement, KPI dashboards, test-and-learn frameworks, and continuous optimization — closing the loop so performance feeds back and insight feeds forward via model refreshes and elasticity updates.
• Utilize MySQL and Python to extract, engineer, and analyze large, multi-source datasets (sales, volume, share, OOS, fill rate, promo ROI, margin), ensuring accuracy and relevance in reporting for strategic decision-making.
• Partner cross-functionally with client sales, category, finance, and supply teams to embed analytics into ABP and JBP and to influence stakeholders at all levels.

Expected Outcomes :

• Deliver a ranked view of the best net-P&L levers, along with a clean price ladder and well-defined SKU roles, that measurably increases revenue, volume, and market share within the first year.
• Improve margin, profitability, and trade-spend ROI across own-brand, private-label, and co-manufacturer portfolios through optimized price-pack and promotion decisions.
• Raise availability and fill rate and strengthen retailer partnerships by aligning demand, assortment, and execution plans within the ABP and JBP process.
• Achieve a minimum of 20% improvement in forecasting and elasticity-model accuracy through advanced analytics, disciplined test-and-learn, and continuous optimization.
• Establish best practices in data engineering, modeling, and value tracking that enhance team productivity and make value realization visible and repeatable.

Qualifications (Skills/Competencies) :

• 5 to 7 years in analytics or consulting with a strong foundation in Revenue Growth Management, pricing and promotion, and market-mix / elasticity modeling.
• Proficiency in MySQL for large-scale data extraction and manipulation, with Python for data analysis and model development highly desirable.
• Hands-on experience across the RGM toolkit: price-pack architecture, trade promotion and spend optimization (TPO / TSO), demand forecasting, assortment and white-space analysis, and promo scenario planning.
• Solid understanding of statistics and a proven ability to apply statistical methods to real-world commercial challenges
• CPG / retail domain knowledge, including familiarity with syndicated and point-of-sale data (e.g., Nielsen, Circana / IRI) and ABP / JBP planning cycles (preferred).
• Ability to build KPI dashboards and clearly communicate insights, with excellent leadership skills and a proven ability to influence stakeholders at all levels.

If you are a strategic thinker with a passion for data analytics and a proven track record of leading teams to success, we encourage you to apply. Join us in shaping the future of revenue growth management and making a significant impact in a collaborative and inclusive environment. Your insights could be the key to our clients' next big breakthrough!