The Enterprise Technology organization at Disney aims to solve the problem of strengthening service reliability and operational visibility across critical technology platforms by creating operational analytics that maximize technology availability.
Requirements
- 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
- Familiarity with advanced analytics techniques such as statistical modeling, data mining, or machine learning applied to operational or support datasets
- Experience with reporting in platforms such as ServiceNow or Jira Service Desk is highly valuable
Responsibilities
- building operational intelligence dashboards
- creating visualizations to detect anomalies
- developing predictive analytics that improve incident response and reduce mean time to restore (MTTR)
- partner 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
- enable proactive issue prevention while driving automation, root cause analysis, and ITSM integrations
- advancing Disney’s overall IT Service Delivery, ensuring reliable, data driven operations that support the enterprise at scale
Other
- The Analyst will create operational analytics across Disney’s technology ecosystem, maximizing technology availability.
- 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.
- Bachelor’s degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience
- At least 1 year of experience in business analytics, data science, business intelligence, or a related role
- Knowledge of IT service delivery environments (e.g., service desk, onboarding, field support) and ability to translate operational needs into data insights
