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Principal Financial Analyst, Merchandising

Job in Papillion, Sarpy County, Nebraska, 68133, USA
Listing for: Spreetail
Full Time position
Listed on 2026-09-30
Job specializations:
  • Finance & Banking
    Financial Analyst, Financial Reporting
  • Business
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Spreetailpropels 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:

Work Your Way:

At Spreetail, we believe in empowering our employees to work in the way that suits them best through our Work Your Way approach. Each team member has the flexibility to choose where they work most effectively each week—whether that's from home, a coffee shop, or the office. While flexibility is key, we also value the power of in-person connection. That’s why we bring our corporate team together in Lincoln each quarter for a week of intentional collaboration, team building, community engagement, and our All-Hands meeting.

It’s the best of both worlds: the freedom to work your way, with meaningful opportunities to connect and grow together. Please scroll to the bottom of the job posting to confirm that your state qualifies for the Work Your Way program.

Spreetail is seeking a Principal Financial Analyst, Merchandising finance to serve serve as a critical analytical partner to our Merchandising and Category leadership teams, shaping how we think about pricing, promotions, assortment, and category profitability. This is a highly analytical, SQL-intensive role built for someone who thrives on getting hands-on with complex data — you'll independently query and model large-scale datasets in Snowflake, build sophisticated PVM analyses, and turn dense financial detail into clear, decisive recommendations that influence real commercial outcomes.

You'll own the financial rigor behind new SKU and assortment launches, evaluate marketing spend and incrementality, and bring operational finance discipline to a fast-moving ecommerce environment. This role is ideal for a seasoned financial analyst who wants significant autonomy, direct exposure to senior stakeholders, and the opportunity to define how data drives merchandising strategy at scale.

  • 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…
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