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Sr. Retail SQL Analyst

SumasEdge Corporation
Kissimmee, FL Other
POSTED ON 12/11/2025 CLOSED ON 12/20/2025

What are the responsibilities and job description for the Sr. Retail SQL Analyst position at SumasEdge Corporation?

Job Details

Role: Sr. Retail SQL Analyst

Location: Kissimmee, FL (4 days onsite, Friday remote for those local; also open to remote w/relo to Orlando necessary if converted - assistance provided)

6 Month Contract to Hire

 

Must-Haves:

**Looking for an emphasis on soft line retails, (e.g., shirts).**

**More experience on the Retail side is what's needed here. Ultimately it is a blended role (Retail & Analytics) but the Retail piece is KEY. Ideally want those with more Analytics than Retail**

  • Minimum 3 years analytical experience in retail, especially applying insights to business KPIs and decision-making.
  • Intermediate SQL skills (3 years): data discovery, understanding storage, and data retrieval.
  • Minimum 3 years Retail industry experience (KPIs, etc.)

Nice-to-Haves:

  • Tableau or other data visualization tools and building of dashboards for them
  • Experience with pricing analytics (60% of the role).
  • Familiarity with Snowflake, BigQuery, Redshift.
  • Coding / technical aptitude in Python, and for data analysis purposes (using pandas, NumPy, matplotlib)
  • Ability to support data preparation and light modeling tasks.
  • Business Intelligence background
  • A/B testing concepts and basic statistical techniques
  • Bachelor’s degree in Mathematics, Economics, Data Science/Analytics, Computer Science, Operations Research, or a related field

Future Skill Growth Opportunities:

  • AI chatbot efficiency for operations
  • Automation for Salesforce/Snowflake releases
  • Business process analysis ? technical requirements
  • Resume-building with AI-related projects

Role Context:

  • Supports Theme Parks and Ecommerce retail divisions.
  • Works with a team of data scientists and engineers.
  • Needs someone who can bridge business and technical requirements.


Team Overview:

The Merchandise Business Insight and Analytics (MBIA) team is part of Disney’s CPGP organization, which creates and sells Disney products worldwide. The MBIA team supports the full retail lifecycle by providing analytics, reporting, and insights that empower data-informed decision-making for a broad community of stakeholders across Category and Location Planning, Product Development, Merchandising, and Retail Operations.

Position Overview:

We are seeking a Senior Analyst to support retail analytics initiatives across both Disney’s theme parks and The Disney Store e-commerce division. This role will focus on delivering high-impact business insights through data exploration, dashboard development, and analytical modeling to support areas such as merchandise planning, promotional performance, inventory health, and operational efficiency. The ideal candidate brings strong business acumen, retail expertise, and technical proficiency in SQL, Data Visualizations (e.g., Tableau), and Python (preferred). This role plays a critical part in transforming data into actionable insights that improve business performance, guest experience, and strategic outcomes across Disney’s global retail footprint.

Technical & Functional - Responsibilities:

Technical........

• Business Acumen - Strong understanding of retail KPIs and operations with the ability to translate data into meaningful business recommendations that drive revenue, efficiency, or guest satisfaction.
• Retail Analytics - Experience supporting the business including merchandising, buying, planning, operations, marking, etc. in retail environments across brick-and-mortar and ecommerce channels. Familiarity with retail inventory systems, POS data, and product lifecycle metrics.
• SQL & Data Management - Advanced SQL skills to extract, join, and transform large datasets; experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Dashboarding & Data Visualization - Expert-level experience building dashboards and reports in Tableau or similar tools to drive self-service analytics and business storytelling.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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