Associate Data Analyst (Project Hire/Internal Assignment)
応募 後で応募 Job ID 10149432 勤務地-都市 Lake Buena Vista, フロリダ州, アメリカ合衆国 / アナハイム, カリフォルニア州, アメリカ合衆国 勤務地-国 Walt Disney World Resort 掲載日 2026/05/12仕事内容:
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.
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The Walt Disney Company について:
The Walt Disney Companyは、その子会社・関連会社とともに、多様性あふれる国際企業として、Disney Entertainment、ESPN、Disney Experiencesの3事業を柱に、ファミリー向けエンターテインメントとメディアの世界をけん引しています。1920年代に小さなアニメ・スタジオとしてスタートしたDisneyは、今日のエンターテインメント業界において卓越した存在となりました。ディズニーは今後も、子供から大人まで、ご家族のだれもが楽しめる一流の物語や体験を生み出し続けます。Disneyのストーリーやキャラクター、体験は、世界中のあらゆる場所の消費者やお客様に届けられています。当社は40カ国以上で、従業員とキャストメンバーが一丸となり、世界的にも地域的にも歓迎されるエンターテインメント体験を創出しています。
このポジションは Walt Disney Parks and Resorts U.S., Inc. という事業部門の一つである Walt Disney World Resortでのお仕事です。
Walt Disney Parks and Resorts U.S., Inc. は機会均等雇用主です。応募者は、人種、宗教、肌の色、性別、性的指向、ジェンダー、性自認、性表現、国籍、家柄、年齢、配偶者の有無、軍役経験の有無やその地位、健康状態、遺伝情報や障がい、または連邦法や州法、地方法で禁止されているその他の法的根拠に関係なく、雇用の検討対象となります。Disneyは、すべての人々のアイデアと決断が、成長、革新、最高のストーリーの創造に役立ち、絶えず進化する世界において、価値ある存在になれるよう支援するビジネス環境を支持します。
