"It takes people to make the dream a reality.” Walt Disney's words still ring true today. At Disney, you'll be part of a team that brings innovation to life through remarkable experiences. As an Associate Omni-Channel Analyst, you'll join the Consumer Insight, Measurement & Analytics (CIMA) team, leveraging data to drive Guest satisfaction and business outcomes. 

The Associate Omni-Channel Analyst is an entry-level contributor to the Data Analytics & Innovation (DAI) team within Consumer Insight, Measurement & Analytics (CIMA), part of Disney Experiences (DX). This role supports the development and enhancement of production data assets used across a wide range of business units and operational teams for reporting, dashboards, and analytical insights. 

This position is ideal for someone who is curious about data, eager to learn, and interested in understanding how raw data is transformed into reliable, scalable assets. The analyst will work closely with business partners to understand data needs, identify appropriate source data, and define transformation logic. They will assist in writing clear, structured requirements for engineering and support testing and validation efforts to ensure accuracy and usability of the final data products. 

This position reports to the Manager, Omni-Channel Analytics and does not have direct reports. 

What You’ll Do 

Requirements Development 

Collaborate with business partners to understand operational and analytical data needs 

Identify appropriate source data and define transformation logic to meet business objectives 

Assist in writing example SQL code that produces expected output for a sample time period, including explanatory comments and clean formatting 

Create and maintain code-agnostic data mapping documents that align with example code and clearly describe source-to-target logic 

Contribute to project charters that define scope, background, dependencies, scheduling, and testing needs 

Process Enhancement and Support 

Focus on updating and enhancing existing production data assets 

Support development of new data processes with lower complexity 

Partner with engineering and testing teams to ensure accurate implementation and validation 

Participate in quality assurance and anomaly detection to confirm data reliability 

Documentation and Collaboration 

Maintain clear and thorough documentation of transformation logic, assumptions, and validation rules 

Engage with internal teams to understand downstream usage and ensure alignment with analytical goals 

Support efforts to make data assets discoverable, reusable, and scalable 

Required Qualifications & Skills   

Education or experience with relational or cloud databases 

Exposure to SQL, R, and/or Python 

Strong critical thinking and problem-solving skills 

Ability to manage multiple priorities and deliver work on time 

Effective communication and collaboration skills 

Attention to detail and a desire to learn 

Preferred Qualifications 

Familiarity with Adobe Analytics or similar tools 

Exposure to digital or contact center data 

Background in hospitality or eCommerce analytics 

Education
Bachelor’s degree in statistics, economics, mathematics, marketing analytics, finance, engineering, or comparable field of study, and/or equivalent work experience