Data Analyst

Perry Ellis International; Miami (FL); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health, Dental & Vision plans

401(k) retirement plan with company 
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Paid PTO & holidays

Tuition reimbursement

MAP – Employee assistance program

Associate clothing discounts

Job summary

Perry Ellis International, Inc. is seeking a Data Analyst to join our Miami team onsite for five days a week. You will leverage Walmart data via the Scintilla platform to support planning, buying, allocation, inventory, and merchandising decisions.

The role emphasizes building dashboards, validating data with SQL in Snowflake, and delivering actionable insights across GMROI, OTB, and lifecycle metrics. You will collaborate with analysts and leadership to translate data into business strategy,

Qualifications

• Bachelor's degree in a business discipline related to planning, analytics, or supply chain.
• Experience in merchandise, demand, or inventory planning in retail or consumer goods.
• Hands-on familiarity with Walmart data ecosystems and Scintilla platform.

Responsibilities

• Analyze Walmart data using Scintilla to support demand and inventory strategies.
• Design dashboards and generate reports to inform planning and merchandising teams.
• Query Snowflake to audit metrics and ensure data integrity.

Skills

SQL querying

Snowflake

Looker

Data storytelling

AI workflows

Education

Bachelor's degree in Business Administration

Bachelor's degree in Supply Chain Management

Bachelor's degree in Finance

Tools

Snowflake

Looker

Tableau/Power BI

Walmart Scintilla platform

Job description

Perry Ellis International, Inc. represents a diverse portfolio of lifestyle apparel brands. The Company, through its wholly owned subsidiaries owns and licenses nationally and with a brand portfolio of over 40 Brands domestically and internationally recognized brands including: Perry Ellis®, Original Penguin® by Munsingwear®, Laundry by Shelli Segal®, Rafaella®, Cubavera®, Ben Hogan®, Savane®, Grand Slam®, John Henry®, Manhattan®, Axist® and Farah®. The Company enhances its roster of brands by licensing trademarks from third parties, including: Nike® for swimwear, and Callaway®, PGA TOUR®, and Jack Nicklaus® for golf apparel.

Summary

We are seeking a dynamic Data Analyst with a strong background in planning to join our team for five days onsite in Miami. In this role, you will focus on leveraging Walmart data through the Scintilla platform, serving as a strategic partner to our planning, buying, allocation, inventory, and merchandising teams. We are looking for someone who loves discovering ways to answer new kinds of questions using new kinds of data and teaching others how to do the same. Daily responsibilities include designing dashboards, generating reports, querying our Snowflake data warehouse with SQL to maintain strict data integrity standards, and delivering actionable data-driven recommendations across critical functions such as Gross Margin Return on Investment (GMROI), Product Lifecycle & Markdown Cadence, Assortment Planning & Hierarchy, Seasonality and Core vs. Fashion, Open-to-Buy (OTB) Logic, Exception-Based Reporting, WSSI Mechanics, and Historical Normalization. As part of our forward-thinking environment, you will also leverage modern AI workflow and vibe coding tools (such as AI code assistants) to accelerate analytics and streamline business intelligence operations.

Responsibilities

• Analyze and interpret Walmart data using the Scintilla platform to support demand planning, merchandise planning, and inventory allocation strategies.
• Proactively discover innovative ways to answer complex business questions using novel datasets, while mentoring and teaching team members to adopt new analytical approaches.
• Develop analytical models and reports to track and evaluate Gross Margin Return on Investment (GMROI) across categories and channels.
• Build tools to analyze Product Lifecycle & Markdown Cadence, Assortment Planning & Hierarchy, Seasonality and Core vs. Fashion, Open-to-Buy (OTB) Logic, Exception-Based Reporting, WSSI Mechanics, and Historical Normalization.
• Write and execute SQL queries in modern cloud data platforms (such as Snowflake) to audit metrics, validate data from the data warehouse, and resolve anomalies (Note: role does not involve data migration tasks).
• Design, develop, and maintain interactive dashboards and reports (preferably in Looker) to communicate Walmart Scintilla insights to key internal stakeholders.
• Rigorously validate data integrity standards across raw data and audit AI-generated query outputs to ensure absolute metric precision.
• Collaborate directly with business analysts, executive leadership, and departmental stakeholders to translate data into actionable business strategy.
• Schedule, monitor, and deliver executive-level reporting and ad-hoc analytics as required.

Skills, Knowledge, and Abilities (Minimum Requirements)

• Bachelor's degree in Business Administration, Supply Chain Management, Logistics, Finance, Management Information Systems (MIS), or a related business discipline.
• Strong background in merchandise, demand, or inventory planning within retail, wholesale, or consumer goods environments.
• Hands-on experience or deep familiarity with Walmart data ecosystems and the Walmart Scintilla analytics platform.
• Solid proficiency in SQL for querying and validating data stored within cloud data warehouses.
• Hands-on experience working with modern data platforms such as Snowflake.
• Demonstrated experience with modern reporting tools (strong preference for Looker; Tableau, Power BI, or similar tools are acceptable).
• Familiarity with AI tools and modern AI workflows (e.g., code assist, vibe coding for BI) to increase productivity.
• Proven ability to translate complex datasets into strategic commercial insights for planning, allocation, inventory, and executive leadership teams.
• Solid understanding of relational databases, dimensional data models, semantic layers, and metric governance.
• Strong troubleshooting, analytical, and problem solving skills to audit underlying query logic and resolve data anomalies.
• Excellent communication and interpersonal skills to present data stories effectively to non-technical business partners.
• Curious and collaborative mindset with a passion for uncovering insights from novel data sources and teaching colleagues how to leverage new analytical tools and methodologies.

Preferred Qualifications (Plusses)

• Industry experience in Fashion, Apparel, Retail, E-commerce, Wholesale, or Supply Chain functions.
• Deep understanding of retail and supply chain domain metrics (e.g., sell-through rates, inventory turn, lead times, procurement, wholesale vs. DTC performance).
• Exposure to ERP systems (e.g., Shopify, NetSuite, Jesta, Oracle Retail).
• Knowledge of Python or other scripting languages for data analysis (nice to have / good to know).

Physical Demand

This position requires the normal demands of a standard office role, including sitting, standing, reaching with arms and hands, walking, talking, and hearing.

This is a full-time, 5-day onsite position located at our corporate office in Miami, FL. The noise level in the work environment is usually moderate.

What's In It For You?

• Comprehensive Health: Premium Medical, Dental, and Vision plans designed to keep you and your family healthy and thriving.
• Financial Security: Secure your future with our 401(k) retirement plan (including a discretionary company match) plus company-provided Basic Life and AD&D Insurance.
• Work-Life Balance: Take the time you need to recharge with generous Paid Time Off (PTO) and a full schedule of paid Holidays.
• Growth & Support: We invest in your potential through our Tuition Reimbursement program for continuous learning and provide 24/7 personal support via our Member Assistance Program (MAP).
• Team Culture: Join a community that celebrates your hard work with regular Associate Engagement Events, ranging from seasonal celebrations to on-site wellness activities.
• Exclusive Style Perks: Look your best for less with generous Associate Clothing Discounts across all our company stores and e-commerce sites.

Legal Disclaimer:

Perry Ellis International is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. All qualified applicants will receive consideration for employment without regard to their individual background and characteristics. We are committed to providing a workplace free of any discrimination or harassment. This commitment extends to all aspects of employment, including hiring, promotion, transfer, compensation, and termination. By submitting your application, you acknowledge and agree to the company's commitment to equal employment opportunities.

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