Assistant Manager, Value Management and Business Analysis

About the role

This role drives revenue growth and profitability through commercial analysis, pricing, promotion, portfolio optimization and data-driven business insights. It sits at the intersection of pricing and revenue management, portfolio and mix optimization, promotion and trade investment, commercial planning and analytics.

Key responsibilities

• Analyze pricing performance and recommend actions to improve revenue and profitability; drive insights across price, promotion, assortment and trading terms.
• Analyze SKU, assortment and portfolio performance, support portfolio segmentation and Pack-Price Architecture (PPA) initiatives, and recommend actions to improve mix, premiumization and profitability.
• Evaluate promotion effectiveness and trade spending efficiency, measure ROI and recommend actions to optimize promotional investments, including supporting promotional guidelines and post-promotion reviews.
• Analyze customer, outlet and contract profitability, support annual commercial planning, KPI tracking and budget management, and monitor sales discounts, promotions and commercial investments.
• Lead analytical projects, support business decisions and collaborate with Sales, Marketing, Finance and Business Development teams.

Required profile

• Bachelor's degree in Business Administration, Economics, Finance, Marketing, Statistics, Data Analytics or a related field.
• 4-5+ years of experience at a mid-senior level within a sales/commercial environment.
• Strong analytical capability, commercial acumen and business partnering skills.
• Ownership, problem-solving, communication and presentation skills, plus an innovative, systematic and collaborative mindset.
• Willingness to conduct market visits and support field validation activities.

Required skills

• Revenue Growth Management (RGM)
• Pricing and promotion analytics
• Portfolio and mix optimization
• Commercial and financial analysis
• MS Excel and PowerPoint
• Power BI and ERP systems
• Data analytics and data science