Disneyland Hong Kong is hiring: Associate Data Analyst in Orlando
Disneyland Hong Kong, Orlando, FL, United States, 32885
Overview
The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
This role is part of the End-user and Technical Operations organization. Our mission is to deliver world-class operational support of all systems, services, devices, and tools used by Disney employees and end users – including the Help Desk and day-to-day operations for end-user support, data centers, databases, application operations, incident and problem management, and the network operations center. The Analyst will create operational analytics across Disney’s technology ecosystem, maximizing technology availability.
Job Summary
As part of Disney’s Enterprise Technology organization, this role focuses on strengthening service reliability and operational visibility across critical technology platforms. You will collaborate with operations, engineering, and development teams to design and implement monitoring strategies, real time dashboards, and self-service analytics that safeguard service health and availability.
Key Responsibilities
- Building operational intelligence dashboards, creating visualizations to detect anomalies, and developing predictive analytics that improve incident response and reduce mean time to restore (MTTR).
- Partnering with Operations teams to capture requirements, shape decision making, and deliver reporting that protects business critical service level agreements.
- Leveraging advanced analytics such as anomaly detection, adaptive thresholds, and predictive health scoring to enable proactive issue prevention while driving automation, root cause analysis, and ITSM integrations.
- Contributing to Disney’s IT Service Delivery by ensuring reliable, data-driven operations that support the enterprise at scale.
Required Education, Experience/Skills/Training
Basic Qualifications:
- Foundational skills in data analysis and scripting, with the ability to use Python (or similar languages) for data manipulation, automation, and reporting
- Hands-on experience building dashboards and reports in Microsoft Power BI
- Familiarity with SQL and cloud-based data platforms such as Snowflake to extract, clean, and join datasets
- Experience with data visualization concepts and ability to create clear, simple dashboards to communicate insights
- Strong analytical and problem-solving skills, with the ability to dig into data and identify patterns, anomalies, and trends
Preferred Qualifications:
- Familiarity with advanced analytics techniques such as statistical modeling, data mining, or machine learning applied to operational or support datasets
- Experience working with large-scale, high-dimensional data to drive operational improvements
- Knowledge of IT service delivery environments (e.g., service desk, onboarding, field support) and ability to translate operational needs into data insights
- Experience with reporting in platforms such as ServiceNow or Jira Service Desk is highly valuable.
- At least 1 year of experience in business analytics, data science, business intelligence, or a related role
Required Education
- Bachelor’s degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience
Disability Accommodation for Employment Applications
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, please visit the Disney candidate disability accommodations FAQs. We will only respond to requests related to the accessibility of the online application system due to a disability.