Data Analyst

Perry Ellis International • Miami, FL

6d • Onsite

About The Position

Perry Ellis International, Inc. is seeking a Data Analyst with a strong planning background to work onsite five days per week at its Miami corporate office. The role uses Walmart data through the Scintilla platform and partners with planning, buying, allocation, inventory, and merchandising teams. The analyst will use SQL and Snowflake to query and validate data, maintain data integrity, build dashboards and reports, and deliver actionable recommendations. Key areas include GMROI, product lifecycle and markdown cadence, assortment planning and hierarchy, seasonality and core versus fashion, Open-to-Buy logic, exception-based reporting, WSSI mechanics, and historical normalization. The position also uses modern AI workflow and coding tools to accelerate analytics and business intelligence operations.

Requirements

• Bachelor's degree in Business Administration, Supply Chain Management, Logistics, Finance, Management Information Systems, 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.
• Proficiency in SQL for querying and validating data in cloud data warehouses.
• Hands-on experience with modern data platforms such as Snowflake.
• Experience with modern reporting tools; Looker is strongly preferred, with Tableau, Power BI, or similar tools acceptable.
• Familiarity with AI tools and workflows, such as code assistants and vibe coding for BI.
• Ability to translate complex datasets into strategic commercial insights for planning, allocation, inventory, and executive leadership teams.
• Understanding of relational databases, dimensional data models, semantic layers, and metric governance.
• Strong troubleshooting, analytical, and problem-solving skills, including auditing query logic and resolving data anomalies.
• Excellent communication and interpersonal skills to present data stories to non-technical business partners.
• Curious, collaborative mindset and interest in uncovering insights from novel data sources and teaching colleagues to use new tools and methods.

Nice To Haves

• Industry experience in fashion, apparel, retail, e-commerce, wholesale, or supply chain functions.
• Deep understanding of retail and supply chain metrics, such as sell-through rates, inventory turn, lead times, procurement, and wholesale versus DTC performance.
• Exposure to ERP systems such as Shopify, NetSuite, Jesta, or Oracle Retail.
• Knowledge of Python or other scripting languages for data analysis.

Responsibilities

• Analyze and interpret Walmart data in the Scintilla platform to support demand planning, merchandise planning, and inventory allocation strategies.
• Discover ways to answer complex business questions using new datasets and teach team members new analytical approaches.
• Develop analytical models and reports to track and evaluate GMROI across categories and channels.
• Build tools for product lifecycle and markdown cadence, assortment planning and hierarchy, seasonality and core versus fashion, Open-to-Buy logic, exception-based reporting, WSSI mechanics, and historical normalization.
• Write and execute SQL queries in cloud data platforms such as Snowflake to audit metrics, validate warehouse data, and resolve anomalies; the role does not involve data migration.
• Design, develop, and maintain interactive dashboards and reports, preferably in Looker, to communicate Walmart Scintilla insights to stakeholders.
• Validate data integrity across raw data and audit AI-generated query outputs for metric precision.
• Collaborate 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.

Benefits

• Premium medical, dental, and vision plans.
• 401(k) retirement plan with a discretionary company match.
• Company-provided Basic Life and AD&D Insurance.
• Paid time off.
• Paid holidays.
• Tuition reimbursement.
• 24/7 personal support through the Member Assistance Program.
• Associate engagement events, including seasonal celebrations and onsite wellness activities.
• Associate clothing discounts across company stores and e-commerce sites.

What This Job Offers

• Job Type: Full-time