Merchandising Data Analyst

Merchandising Data Analyst

Location: New York, NY 

Reports to: Planning Leadership

A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.

About Petite Plume

Petite Plume is a high-growth luxury lifestyle brand rooted in timeless design, premium craftsmanship, and an unwavering dedication to comfort. We are a direct-to-consumer-led business, with a rapidly scaling DTC channel at the center of our growth and brand-building strategy.

Alongside our strong online presence, we maintain a selective footprint in major retail doors including Neiman Marcus, Bloomingdale's, Nordstrom, Maisonette, and Shopbop. As we continue to accelerate, we remain grounded in exceptional quality, thoughtful detail, and long-term brand vision.

We are building a team that is energized by growth, motivated by excellence, and excited to help shape what comes next.

About the Role

We are seeking a detail-oriented and analytical Merchandising Data Analyst to join our Planning team. This role serves as a key contributor to our analysis, ensuring that our leadership team has the accurate, timely, and organized data required to make informed business decisions.

This role is not siloed; you will support all channels, including our growing wholesale partnerships, luxury hospitality concessions, independent boutiques, and our direct-to-consumer digital channels. You will take ownership of the critical data infrastructure of our department, managing data normalization and the recurring recapping processes that keep the business moving.

Key Responsibilities

• Take full ownership of the weekly recapping process, ensuring our business dashboards are up-to-date, accurate, and ready for review by Planning leadership.
• Serve as the primary gatekeeper for data hygiene, managing the intake and normalization of \"dirty\" or disparate datasets across our fragmented sales channels into a clean, unified view of the business.
• Help build and maintain robust forecasting tools in Excel, using expert-level proficiency in Power Pivot and Microsoft Data Models to keep our planning models accurate, responsive, and efficient.
• Monitor sell-through data and inventory levels, identifying and flagging discrepancies to help the team troubleshoot issues before they reach leadership.
• Transform manual administrative tasks into sustainable, automated processes that bridge the gap between financial targets and inventory reality.

Qualifications

• 1-3 years of experience in retail planning, merchandising, or data analysis.
• Expert-level proficiency in Excel, including Power Pivot and Microsoft Data Models (non-negotiable).
• Proficiency/familiarity with PowerBI.
• Ability to translate complex data findings into clear, concise insights for the planning team.

What Will Make You Successful

• A collaborative mindset and eagerness to learn and contribute to a team.
• A genuine interest in the fashion industry and the product lifecycle.
• Comfort working in a company where systems are evolving.
• A proactive approach to creating structure, identifying process improvements, and solving data-related roadblocks.
• A desire to grow technical skills in a high-growth, fast-paced environment.

Salary: $80,000

Our Benefits

As a 100% founder-owned company, we are committed to offering a package that supports employees in life's moments both big and small, including:

• Competitive salary
• 10 PTO days + 5 sick days
• 11 paid federal holidays
• A 401K and company profit-sharing plan after one year of tenure
• Generous health, dental, and vision insurance for you and your dependents
• 50% employee discount on
• An inclusive, collaborative, and dynamic work environment
• Annual discretionary bonus program

Petite Plume is an equal opportunity employer committed to fostering an inclusive, innovative environment. xhyhwjd We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. If you have a disability or special need that requires accommodation, please contact us at careers@