Principal Financial Analyst, Merchandising
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 6d ago
The date the source published, not the day we noticed it (2026-09-25). Last seen at its source just now.
We have tracked this listing since 25 Sep 2026 (6 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Nebraska, Arizona, Florida, Georgia, Kentucky, Louisiana, Nevada, North Dakota, Ohio, South Dakota, Tennessee, Texas, Utah
The description agrees: it names United States.
What the ad says
…states must reside in one of the following states: Alabama…
Pay not stated
Similar roles pay $85k–177.5k/yr
Middle 50% of 33 listings that do state pay — Finance · Lead · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 6d ago · last seen just now
The listing
What experiences will help you in this role:
- 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.
How you will achieve success:
- 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.