Wholesale Sales Analyst

The ideal candidate has deep retail and channel data fluency, hands-on experience with retail analytics and EDI/POS data platforms, and strong cross-functional communication skills.

You will be responsible for building and maintaining the analytics infrastructure that drives smarter, faster decisions across our wholesale channel — including sell-through reporting, bottoms-up forecasting, and retailer-level inventory planning across key wholesale partners.

Candidates should be highly analytical, detail-oriented, and comfortable working autonomously in a fast-paced, high-growth environment.

Job Responsibilities:
Reporting & Analytics
* Build and maintain account-level sell-through dashboards and performance scorecards for key wholesale partners.
* Leverage SPS Commerce Analytics or comparable retail data and EDI platforms to unify retailer data and surface actionable insights.
* Analyze POS and sell-through data to identify trends, risks, and opportunities across retail accounts.
* Monitor and report on weeks of supply (WOS), in-stock rates, inventory health, and other key retail performance metrics.
* Ensure consistent, accurate, and timely reporting across wholesale accounts.

Forecasting & Inventory Planning
* Develop bottoms-up forecasting models grounded in POS data, weeks-of-supply analysis, historical performance, and seasonal trends.
* Establish a weekly process for providing inventory and replenishment recommendations based on retailer performance and demand.
* Partner with the Wholesale Demand Planner to align forecasts with supply chain and operations planning.
* Continuously evaluate forecast performance and identify opportunities to improve forecasting accuracy.
* Identify potential inventory risks, including stockouts and excess inventory, and proactively recommend solutions.

Cross-Functional Collaboration
* Partner closely with Sales, Merchandising, Finance, Supply Chain, and Operations to translate retail data into clear, actionable recommendations.
* Support business reviews by providing retailer-level performance analysis, trends, risks, and opportunities.
* Identify incremental revenue opportunities through in-depth retailer and account analysis and present findings to key stakeholders.
* Support new retailer onboarding by establishing baseline reporting, analytics, and forecasting frameworks from day one.
* Communicate complex data and insights clearly to both analytical and non-analytical stakeholders.

Skills

- 3+ years of experience in wholesale analytics, retail planning, demand planning, or retail/channel data analysis. Experience within apparel, fashion, consumer goods, or a high-growth omnichannel brand is strongly preferred.
- Hands-on experience with SPS Commerce Analytics or a comparable retail data/EDI platform.
- Strong proficiency in POS data analysis, sell-through reporting, weeks-of-supply modeling, and inventory analysis.
- Experience building bottoms-up forecasting models and translating data into inventory and replenishment recommendations.
- Experience working with major wholesale, mass, specialty, department store, or apparel retail partners is strongly preferred.
- Advanced proficiency in Excel or Google Sheets.
- Experience with BI and visualization tools such as Looker, Tableau, or Power BI is a plus.
- Strong analytical and problem-solving skills with exceptional attention to detail.
- Highly organized and able to manage recurring reporting and forecasting deadlines reliably.
- Strong written and verbal communication skills, with the ability to present complex data clearly to cross-functional stakeholders.
- Comfortable working autonomously in a remote, fast-paced, high-growth environment with minimal supervision.
- Comfortable using a time-tracking tool during working hours as part of the company’s remote-work requirements.

Consumer goods or beauty industry experience, familiarity with key wholesale retail partners such as Ulta or Target, and experience with BI tools such as Looker, Tableau, or Power BI.

Must be comfortable using a time-tracking tool during working hours as part of the company’s standard remote-work process.