Principal Financial Analyst, Merchandising

Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. Learn how we are building one of the fastest-growing ecommerce companies in history: www.spreetail.com.

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Proven experience partnering directly with Merchandising, Category, or Commercial leadership in a senior operational finance capacity — driving decisions on pricing strategy, promotional effectiveness, assortment planning, and category-level profitability at scale. Deep, hands-on expertise in Price, Volume, Mix (PVM) analysis, with a demonstrated ability to build PVM models from the ground up, isolate business drivers, and translate complex financial mechanics into a narrative that shapes executive-level decisions. Extensive SQL expertise — writing complex, performant queries independently against large transactional datasets (Snowflake or equivalent) to build financial models and dashboards without reliance on data engineering support. This is core to the role, not a nice-to-have. Track record owning end-to-end financial support for new SKU, brand, or assortment launches — including forecasting, margin modeling, cannibalization analysis, and post-launch performance measurement across multiple concurrent launches. Experience evaluating marketing spend and incrementality, partnering with Marketing and FP&A leadership to assess ROI, trade-offs, and downstream impacts to demand, margin, and inventory position.

Bring a strong foundation in Finance, Accounting, Economics, or Data Analytics, paired with the analytical horsepower to independently untangle ambiguous, high-stakes business questions and deliver precise, decision-ready insights. Apply 7–10+ years of progressive experience in financial analysis, FP&A, or merchandising finance — retail or ecommerce exposure strongly preferred — operating with the autonomy expected at a Principal level. Demonstrate advanced, daily fluency in SQL and Snowflake to extract and manipulate complex, large-scale datasets, alongside strong Power BI and advanced Excel skills to build automated, scalable reporting infrastructure. Lead in-depth financial modeling, PVM analysis, and scenario planning to surface margin improvement, inventory efficiency, and category profitability levers — often defining the analytical approach rather than following a template. Operate as a thought partner to senior Merchandising and Finance stakeholders, communicating data-dense findings with clarity, driving cross-functional alignment, and proactively identifying where deeper analysis is needed.

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