Merchandising Data Analyst — Excel-Driven Planning

Petite Plume; New York (NY); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

11 paid holidays

401K + profit sharing

Health/Dental/Vision insurance

Employee discount 50%

Inclusive work environment

Annual discretionary bonus program

Job summary

Petite Plume, a luxury lifestyle brand, is seeking a detail-oriented Merchandising Data Analyst to join our Planning team. You will own data infrastructure, ensure clean, centralized datasets, and support leadership with timely analytics across channels including DTC, wholesale, and hospitality concessions.

You will build forecasting tools in Excel with Power Pivot and Data Models, monitor sell-through, and transform manual tasks into automated processes that align financial targets with

Qualifications

• 1–3 years of experience in retail planning, merchandising, or data analysis.
• Expert-level Excel, including Power Pivot and Microsoft Data Models.
• Proficiency with PowerBI for analytics and dashboards.
• Ability to translate complex data findings into clear insights for the planning team.

Responsibilities

• Own the weekly recapping process to keep dashboards up-to-date for Planning leadership.
• Gatekeeper for data hygiene, normalizing data across channels into a single view.
• Build and maintain forecasting tools in Excel using Power Pivot and Data Models.
• Monitor sell-through and inventory, flag discrepancies for timely action.
• Automate manual tasks to connect financial targets with inventory reality.

Skills

Excel

Power Pivot

Microsoft Data Models

PowerBI

Tools

Excel

PowerBI

Power Pivot

Microsoft Data Models

Job description

Petite Plume, a luxury lifestyle brand, is seeking a detail-oriented Merchandising Data Analyst to join our Planning team. You will own data infrastructure, ensure clean, centralized datasets, and support leadership with timely analytics across channels including DTC, wholesale, and hospitality concessions.

You will build forecasting tools in Excel with Power Pivot and Data Models, monitor sell-through, and transform manual tasks into automated processes that align financial targets with