Associate Data Analyst (PH) at Disney in Anaheim, CA

Associate Data Analyst (Project Hire/Internal Assignment) Location: Lake Buena Vista, FL, USA Job Posting Title: Associate Data Analyst (Project Hire/Internal Assignment) Req ID: 10149432 Job Description: The Associate Data Analyst is a key member of the team responsible for transforming complex data from our computer vision platforms into tangible operational improvements. The Data Platforms team designs and assists in deploying computer vision models to enhance safety and efficiency across Disney’s Parks worldwide. We are looking for a detail-oriented analyst eager to learn our pipelines and data flows, contribute to analysis and reporting, and help drive data-informed decisions across a globally deployed platform. This role is about more than running reports: it is about developing an understanding of the “why” behind the data. You will help identify trends, review detection outputs, and learn to analyze where the system is succeeding and where it is missing the mark (false positives and false negatives). You will support the bridge between the technical architecture and the project team, helping translate complex metrics into clear, actionable intelligence that improves the experience for both Guests and Cast Members. You will also assist engineering and program leadership on timelines, documentation, and communications. You will report to the Manager, Data Platforms. This is an estimated 15-month Project Hire position with no guarantee of permanent placement. Responsibilities/You Will: 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 Basic Qualifications/You Have: 1+ years of experience in data analysis, project analysis, or a technical analytical role. Working knowledge of data generated by computer vision or machine learning models, including familiarity with how detection outputs are evaluated and interpreted. Familiarity working in a Linux environment, including a working understanding of containers (Docker); exposure to orchestration tools such as Kubernetes (K8s) is a plus. Ability to look at a set of data and begin to identify patterns or trends, with a desire to develop deeper analytical skills over time. Familiarity with data tools for visualization and analysis (e.g., Tableau, Power BI, SQL, Python or R); willingness to learn tools used by the team. Expert in Excel, including VLOOKUPs, pivot tables, charts, and complex formulas, with strong SQL skills for working with large datasets. Ability to independently analyze data and translate insights into clear, actionable recommendations. Proven ability to create clear, visually compelling presentations and tailor messaging for global audiences, including navigating language barriers and working with diverse, cross-functional stakeholders. Experience presenting complex findings to a range of audiences, including technical teams, operations leaders, and internal and external executives—effectively simplifying content for non-technical stakeholders. Good written and verbal communication skills and a willingness to engage with both technical and non-technical teammates. Ability to manage your own time and priorities, staying organized when working across multiple tasks or stakeholders. A high level of attention to detail—especially when dealing with data that drives critical operational decisions. Flexibility to travel occasionally to domestic and international partner locations (including APAC and EMEA) to support stakeholder alignment and business initiatives Preferred Qualifications: Academic or project-based exposure to computer vision or machine learning concepts (e.g., coursework, capstone projects, or personal projects) Experience with VBA & Macros in Excel is a plus Curiosity about predictive analytics or an interest in understanding the difference between lead indicators (metrics that predict an event) and lag indicators (metrics that report what already happened) Education: Bachelor’s Degree or equivalent experience in Data Analytics, Business Analysis, Information Technology, or related field Additional Information: 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. The hiring range for this position in Lake Buena Vista, FL is $62,200 to $83,300 per year and in Anaheim, CA is $______ to $______ per year based on a ____ hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Worldwide Safety, Health, Engineer & Sourcing Job Posting Primary Business: Safety Assurance (WSHES) Primary Job Posting Category: Quality Assurance Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: USA - CA - Disneyland Service - Team Disney Office Date Posted: 2026-05-12 Additional Locations: Anaheim, CA, USA