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Remote plus mid-level generalist title increases applicant density, but niche FMCG/TPO specialization moderates it.
Requires FMCG/CPG promo and TPO domain expertise, making cross-industry transfers difficult.
Explicit years plus domain-specific FMCG/TPO experience and mandatory analytics skills create strict filters.
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Own end-to-end preparation and validation of promo investment data (pricing, discounts, trade terms, budgets, margins, constraints) ensuring readiness for optimization models.
Act as intermediary between business units (category, sales, finance, RGM, customer teams) and Data Scientists, translating commercial requirements into model-ready inputs and coordinating clarifications.
Maintain data quality, documentation, and business rules to improve optimization accuracy and reduce rework in Trade Promotion Optimization cycles.
3 to 6 years experience with 3-5 years preferred.
Experience in Revenue Growth Management, Trade Promotion Management/Optimization, category management, sales finance, or related commercial analytics domains.
Strong skills in Excel and structured data QA; Python, SQL, and Databricks preferred but not strictly mandatory.
Work Location: Remote; Employment Type: Full-time; Duration: 6 months contract.
Experienced in FMCG/CPG commercial analytics focusing on pricing, promotions, retailer investments, and margin management.
Able to bridge between business stakeholders and technical/data science teams with clear communication and documentation discipline.
Familiar with optimization concepts, model constraints, solver diagnostics and able to proactively identify data gaps and discrepancies before modeling phases.