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Remote role, common BA title, and 3–6 year mid-level range drive high applicant competition.
Requires FMCG trade-promotion expertise and commercial analytics, limiting cross-industry transferability.
Explicit 3–6 year requirement plus FMCG/TPO domain expertise and technical tooling increases screening strictness.
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Own the business-to-data science hand-off for trade promotion investments, ensuring all pricing, discounts, budgets, margins, and constraints are validated and optimization-ready.
Coordinate with commercial teams to collect, validate, and translate promo investment inputs into model-ready templates and constraints for optimization runs.
Maintain data quality checks, document assumptions and decisions, and support interpretation of optimization outputs to improve promotion planning accuracy.
3-6 years of relevant work experience in trade promotion optimization or related commercial analytics roles.
Strong understanding of FMCG/CPG commercial analytics, including pricing, promotions, retailer investments, and gross margin.
Advanced Excel and structured data quality assurance skills; proficiency in Python, SQL, and Databricks preferred.
Work Mode: Remote; Employment Type: Full-time; Location: Not location restricted.
Experienced in Revenue Growth Management or Trade Promotion Management with familiarity in category management, sales finance, commercial planning, or retailer analytics.
Capable of translating business requirements into technical models and collaborating cross-functionally with sales, finance, and data science teams.
Skilled in validating and documenting business rules and commercial constraints to ensure data accuracy before optimization modeling.