K2 Partnering Solutions
Website:
k2partnering.com
Job details:
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.
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