Spreetail Inc.
Work Your Way:
How you will achieve success:
- Bring deep, progressive experience in financial analysis, FP&A, or merchandising finance—ideally within retail or ecommerce—with a track record of owning complex financial strategy and earning credibility as a go-to authority across business functions.
- Architect and maintain enterprise-grade analytical systems using SQL, Snowflake, Power BI, and advanced Excel—building scalable, self-service reporting infrastructure that elevates analytical capability across the business.
- Lead complex financial modeling initiatives spanning PVM analysis, margin scenario planning, inventory economics, and category profitability—surfacing opportunities that shape multi-million dollar assortment and pricing decisions.
- Define and govern merchandising finance frameworks, including pricing guardrails, margin floor policies, and assortment ROI standards, ensuring analytical consistency and financial discipline at scale.
- Operate as a senior cross-functional voice, translating complex analytical work into clear strategic recommendations for VP- and C-level stakeholders—driving alignment, accelerating execution, and elevating the standard for data-driven decision-making across the company.
What experiences will help you in this role:
- Deep expertise partnering with Merchandising and Category leadership, functioning as a trusted advisor on pricing architecture, promotional investment, assortment strategy, and category P&L ownership—not just reporting, but driving the agenda.
- Expert-level command of Price, Volume, Mix (PVM) analysis, with a demonstrated ability to build frameworks from scratch, diagnose complex business drivers, and deliver financial narratives that directly influence executive-level commercial strategy.
- Proven track record leading the financial architecture for new SKU, brand, and assortment launches—including forward-looking margin models, cannibalization frameworks, scenario planning, and post-launch performance systems that feed ongoing investment decisions.
- Advanced experience in marketing spend analytics and incrementality measurement, with the ability to independently evaluate ROI trade-offs, model demand elasticity, and partner with Marketing and FP&A to optimize the relationship between spend, margin, and inventory positioning.
- Hands-on fluency in SQL and Snowflake for large-scale data extraction, transformation, and self-service analytics—able to independently source and shape complex datasets without reliance on data engineering, and build the analytical foundation that powers merchandising insights at scale.
- Seasoned perspective in retail or omnichannel finance—brick-and-mortar, ecommerce, or both—with the ability to translate institutional knowledge of SKU economics, inventory turn, and operational rigor into scalable analytical infrastructure.
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
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