Job Posting Title:

Sr Analyst-Advanced Analytics & Business Intelligence (BI)

Req ID:

10126090

Job Description:

Sr. Analyst – Advanced Analytics & Business Intelligence (BI)

About the Role & Team

“We create happiness.” That’s our motto at Walt Disney Parks and Resorts—and it drives everything we do. At Disney, you’ll help push the limits of entertainment and deliver the never-before-seen. Ready to make an impact?

The Media Growth and Marketing team, part of the Global Marketing Center of Excellence within Disney Experiences (DX), powers campaign activation. As Sr. Analyst, you’ll drive advanced consumer analytics and business intelligence for Direct Channel marketing, using data-driven insights to optimize targeting, messaging, and channel strategies.

This role focuses on Data Science and Business Intelligence (BI) - developing analyses, predictive models for sales and marketing, digital campaigns, and CRM, plus self-service tools like dashboards and workflows leveraging machine learning and technologies such as Snowflake, Dataiku, and Tableau. You’ll collaborate with other planning and marketing teams to deliver actionable insights, recommend solutions, and manage projects within an Agile framework.

Full-time, On-Site
Reports to: Manager – Advanced Analytics & Business Intelligence (BI)

What You Will Do

• Develop BI tools and dashboards using SQL, Python, Snowflake, Dataiku, and Tableau

• Build predictive models on guest behavior (e.g., purchase likelihood, engagement, customer spend)

• Design and run statistical experiments (A/B testing) to measure audience strategy effectiveness

• Analyze KPIs and guest behavior trends; translate findings into clear, data-driven stories and visualizations that drive business impact

• Build data pipelines for predictive models, actionable insights, and operational dashboards

• Maintain and promote department data assets, including models and dashboards, to ensure availability for activation

• Manage project plans and timelines in Agile; track progress using Jira

• Mentor team members to develop skills, provide feedback and promote confidence

• Partner with key business stakeholders to identify insights that inform strategic decisions

Required Qualifications

• 5+ years of experience in customer-focused analytics within industries such as hospitality, entertainment, or retail, including sales, marketing, and customer service functions

• 5+ years of hands-on expertise in BI technologies, data visualization, and programming (Python or R) for predictive modeling, statistical testing, and the application of machine learning algorithms and statistical methods such as logistic regression, decision trees, and clustering

• Strong understanding of relational databases, data pipelines, and exploratory data analysis (EDA) using SQL and Python

• Proven ability to translate business questions into actionable analytical products

• Proficiency in data visualization tools like Tableau, Power BI or other visualization tools

• Excellent communication skills to distill complex technical concepts into clear, actionable insights for non-technical audiences

• Strong problem-solving, organizational, and time management skills

• Critical thinking, attention to detail, and a curiosity-driven mindset

Technical Skills Required:

Machine Learning, SQL/Python, Tableau

Preferred:

Snowflake, Dataiku, Jira

Education:

• Bachelor’s degree in Statistics, Analytics, Business, Mathematics, Computer Science, or related field

• Preferred: Master’s degree in same disciplines

Our Benefits: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits

Job Posting Segment:

Marketing

Job Posting Primary Business:

Customer Engagement

Primary Job Posting Category:

Data Analysis

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Celebration, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2025-07-16