Senior Tech Analyst

Sr. Tech Analyst, Retail - Kissimmee, FL (4 days onsite, Friday remote)

6-month contract w/possible extension(s)

- This role will report to the Sr. Manager, Data Science & Retail Analytics (Erica Huerta)



Must-Haves:


- Minimum 4 yrs. in a relevant retail analytics position
- 4+ yrs. in Data Visualization (e.g., Tableau)
- 4+ yrs. in SQL (e.g., Snowflake, BigQuery, or Redshift)
- 4+ yrs. in building of dashboards
- 4+ yrs. of business acumen (Retail KPIs and Operations)



Nice-to-Haves:


- Pricing subject matter expertise
- 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



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.

Functional.......
• Deliver Actionable Business Insights: Conduct deep-dive analyses on retail performance including pricing and promotional effectiveness, customer behavior, and product lifecycle to inform merchandising and planning decisions.
• Build and Maintain Visual Dashboards: Develop intuitive, automated Tableau dashboards and self-service reporting tools to monitor key performance indicators and support cross-functional teams in decision-making.
• Collaborate with Cross-Functional Teams: Partner with merchandising, marketing, finance, and technology stakeholders to translate business needs into data-driven solutions and clearly communicate analytical findings.
• Develop Scalable Analytical Solutions: Write robust SQL code to query, clean, and manipulate large datasets from cloud-based sources (e.g., Snowflake, BigQuery) in support of repeatable, scalable analytics workflows.
• Support Data Science Initiatives: Collaborate with data scientists on advanced projects by preparing data inputs, conducting exploratory data analysis, and validating model outputs to ensure business relevance.