Key responsibilities Maintain input templates, datadictionaries, business rules andreadiness checklists for eachoptimization cycle. Pre-check data quality: missingfields, duplicate master codes orPPG mappings, inconsistent priceor discount logic, week/datealignment and outliers. Validate business constraints:brand budget, max promos, weeksbetween promos, customermargin, POS sales andcannibalization matrix rules. Document assumptions, signoffs,unresolved questions, change logsand rationale for any pre-modellingadjustments. Support interpretation of outputssuch as selected promotions, iGP,iNTS, K_ROI, budget utilization, andbusiness trade-offs.

Act as the commercial bridgebetween business teams and DataScientists for TPO cycles.• Collect and validate promoinvestment inputs: pricing,discounts, promo combos, tradeterms, baseline sales,



costs,margins, and budgets.• Translate commercialrequirements into model-readytemplates, constraint rules andoptimization payloads.• Coordinate clarifications withcategory, sales, finance, RGM andcustomer teams beforeoptimization runs.Relevant work areas• Revenue Growth Management,Trade Promotion Management, orTrade Promotion Optimization.• Category management, salesfinance, commercial planning,demand planning or retaileranalytics.• Nielsen/NIQ, retailer EPOS,customer P&L;, promo calendars,pricing files and master dataexperience preferred

Perks:

- Provident Fund

Work Location: Remote

📌 Business Analyst – Trade Promotion Optimization (TPO) (India)
🏢 Crayontek
📍 India