Associate Data Analyst (Project Hire/Internal Assignment)

Disney is a leading entertainment company, and they are seeking an Associate Data Analyst to join their Data Platforms team. This role involves transforming complex data from computer vision platforms into actionable insights to enhance safety and efficiency across Disney's Parks worldwide.

Responsibilities:

• Data analysis support: Pull, organize, and review data from computer vision platforms to help the team identify patterns in detection behavior and flag emerging trends for review
• Detection review: Run structured reviews of detection outputs, log instances of false positives and false negatives, and compile findings into reports that help technical teams understand where tuning is needed
• Pipeline monitoring: Perform routine checks on data pipeline health, flag anomalies or gaps in data flow, and escalate issues to senior team members for resolution
• Systems support: Carry out defined support tasks for container-based applications in Linux environments, follow documented procedures for routine maintenance, and escalate issues to software engineers when needed
• Reporting support: Summarize analytical findings in clear, structured formats that make it easy for senior team members to draw conclusions and present to leadership
• Trend tracking: Monitor recurring data patterns over time and document observations that may indicate early warning signs, supporting the team’s efforts to move from reactive to proactive operations
• Dashboard maintenance: Keep existing dashboards and performance briefings up to date with current data, flagging anything that looks off to senior team members before it goes to leadership
• Cross-team coordination: Participate in working sessions with operations staff, data scientists, and engineers, taking clear notes and following up on action items to keep projects moving
• Program documentation: Maintain accurate records, trackers, and status updates that support the team’s project management needs as the program scales to additional sites
• Issue documentation: When trends or anomalies are flagged, gather relevant data, document what was observed, and support senior analysts in working through the root cause investigation
• Change validation: After a tuning update or process change is made, run before-and-after comparisons using defined metrics and document whether outcomes improved
• Maintain data integrity: Handle sensitive operational and Guest information with a high level of discretion and accuracy