Business Analyst – Trade Promotion Optimization (TPO)

Role: Business Analyst – Trade Promotion Optimization (TPO) Work Location: Hybrid - Bengaluru (2 days a week work from office) Duration: 6 Months Contract with a possibility for an extension Experience required: 3–6 years Job Overview We are looking for a Business Analyst – Trade Promotion Optimization (TPO) to support commercial and data science teams in optimizing trade promotion investments. The ideal candidate will have strong experience in FMCG/CPG commercial analytics, Revenue Growth Management (RGM), and Trade Promotion Management/Optimization. Key Responsibilities

• Act as a bridge between Business/Commercial teams and Data Science teams for TPO initiatives.
• Gather, validate, and prepare promotion inputs including pricing, discounts, trade terms, budgets, margins, POS data, and customer constraints.
• Translate business requirements into model-ready templates and optimization inputs.
• Support TPO model builds, simulations, optimization/solver runs, and interpretation of results.
• Analyze and communicate key outputs such as ROI, budget utilization, incremental profit, and incremental sales to business stakeholders.
• Work closely with Sales, Category, Finance, RGM, and Customer teams to identify and resolve data gaps and business-rule issues.
• Support continuous improvement of TPO processes, data quality, and business requirements. Required Qualifications
• 3–6 years of relevant experience as a Business Analyst, Commercial Analyst, RGM Analyst, Trade Promotion Analyst, or similar role.
• Strong experience in FMCG/CPG commercial analytics or trade promotion processes.
• Good understanding of Trade Promotion Management/Optimization and Revenue Growth Management (RGM).
• Experience working with cross-functional business stakeholders.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
• Experience with Nielsen/NIQ, retailer EPOS/POS data, pricing, promotion, or category analytics is highly desirable. Preferred Technical Skills
• Exposure to SQL, Python, or Databricks is a plus.
• Experience working with data science, optimization, or analytical modeling teams is preferred. Note: This is primarily a business/commercial analytics and stakeholder-facing role, not a pure Data Science or Data Engineering position.