Senior Financial Analyst, Merchandising Analytics

 

 

Spreetail is hiring a Senior Financial Analyst, Merchandising Analytics to drive high-impact decisions at the intersection of finance, data, and merchandising. In this role, you’ll leverage SQL, Snowflake, Power BI, and advanced analytics to uncover insights on pricing, assortment, and profitability—partnering closely with cross-functional teams to influence strategy and fuel growth in a fast-paced, data-driven environment.

Experience partnering with Merchandising or Category teams in an operational finance or analytics role, providing actionable insights on pricing, promotions, assortment decisions, and category profitability.

Strong background in Price, Volume, Mix (PVM) analysis, with the ability to explain business drivers, isolate impact, and influence commercial decisions through clear financial storytelling.

Hands-on experience supporting new SKU, brand, or assortment launches, including forecasting, margin modeling, cannibalization analysis, and post-launch performance measurement.

Exposure to marketing spend analysis and incrementality, collaborating with Marketing and FP&A to evaluate ROI, trade-offs, and impacts to demand, margin, and inventory.

Prior experience in traditional brick-and-mortar or omnichannel retail finance, bringing transferable skills in SKU-level analysis, inventory economics, and operational rigor that scale well into ecommerce environments.

Leverage a strong foundation in Finance, Accounting, Economics, or Data Analytics to deliver accurate, actionable insights that drive merchandising and business decisions.

Apply 4–7 years of experience in financial analysis, FP&A, or merchandising finance—ideally within retail or e-commerce—to support pricing strategies, assortment planning, and product launches.

Utilize SQL, Snowflake, Power BI, and advanced Excel to extract, analyze, and visualize complex datasets, building scalable reporting and dashboards that inform business strategy.

Conduct in-depth financial modeling, PVM analysis, and scenario planning to identify opportunities for margin improvement, inventory efficiency, and overall category profitability.

Communicate insights clearly and effectively to cross-functional stakeholders, translating complex data into recommendations that drive alignment and execution.