Wholesale Sales Analyst

About the Role

About the Role 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.

Requirements:

Must-Have 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.

Nice-to-Have

• 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.

Tools & Tech Stack

• Advanced proficiency in Microsoft Excel and/or Google Sheets for reporting, forecasting, and data analysis.
• Hands-on experience with SPS Commerce Analytics or a comparable retail EDI/POS data platform.
• Experience with BI and data visualization tools such as Looker, Tableau, or Power BI is a plus.
• Comfortable learning and working across multiple retail, reporting, and analytics platforms.
• Must be comfortable using a time-tracking tool during working hours as part of the company's standard remote-work process.