Data Analyst

Perry Ellis International • Miami, FL

6d • Onsite

About The Position

Perry Ellis International 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 to support planning, buying, allocation, inventory, and merchandising teams. It combines dashboard and report development, SQL analysis of the Snowflake data warehouse, rigorous data validation, and delivery of actionable recommendations. The position focuses on retail planning topics including GMROI, product lifecycle and markdown cadence, assortment planning and hierarchy, seasonality and core versus fashion, OTB logic, exception-based reporting, WSSI mechanics, and historical normalization. The role does not involve data migration tasks.

The analyst will also use modern AI workflow and vibe-coding tools, including AI code assistants, to accelerate analytics and business intelligence operations. The successful candidate will collaborate with business analysts, executive leadership, and other stakeholders, and will help colleagues discover and apply new analytical approaches.

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 in retail, wholesale, or consumer goods.
• 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, while Tableau, Power BI, or similar tools are acceptable.
• Familiarity with AI tools and modern AI workflows, such as code assistants and vibe coding for business intelligence.
• 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 effectively to non-technical business partners.
• Curious and collaborative mindset, with an interest in uncovering insights from new data sources and teaching colleagues to use analytical tools and methodologies.

Nice To Haves

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

Responsibilities

• Analyze Walmart data in the Scintilla platform to support demand planning, merchandise planning, and inventory allocation strategies.
• Identify new ways to answer complex business questions using novel datasets, and teach team members to adopt new analytical approaches.
• Develop analytical models and reports to track and evaluate GMROI across categories and channels.
• Build tools for analysis of product lifecycle and markdown cadence, assortment planning and hierarchy, seasonality and core versus fashion, OTB 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; data migration is not part of the role.
• Design, develop, and maintain interactive dashboards and reports, preferably in Looker, to share Walmart Scintilla insights with internal 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 turn data into actionable business strategy.
• Schedule, monitor, and deliver executive-level reporting and ad hoc analytics.

Benefits

• 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 (PTO).
• Paid holidays.
• Tuition reimbursement.
• 24/7 personal support through the Member Assistance Program (MAP).
• Associate engagement events, including seasonal celebrations and onsite wellness activities.
• Associate clothing discounts at company stores and e-commerce sites.

What This Job Offers

• Job Type: Full-time