招聘

Intern, Data, Marketing Technology & Web - Jul to Dec 2026
Singapore, Singapore
·
On-site
·
Internship
·
4d ago
Job Posting Title:
- Intern, Data, Marketing Technology & Web
- Jul to Dec 2026
Req ID:
10145082
Job Description:
This is an office-based role in our Singapore office.
Wherever you are in the amazing world of Disney, you are contributing to the stories of our iconic brands, recognised by audiences everywhere for entertainment, information and inspiration. Innovation, imagination and inclusion are at the core of Disney, defining the experience that we deliver as well as providing the foundation of our success. The scope of our business, combined with global growth and collaboration result in an inclusive employee experience characterised by continuous learning, development and achievement.
About Integrated Marketing
The Integrated Marketing team at Disney Southeast Asia is responsible for the creative advertising, research, media, publicity, and promotion of movies and shows released in cinemas and on our streaming service, Disney+ / Disney+ Hotstar in the region.
Our portfolio of brands include Disney, Pixar, Marvel, Star Wars, 20th Century, National Geographic, and more, providing unprecedented access to the company’s incredible slate of feature-length films, documentaries, live-action and animated series, renowned classics and short-form content.
Integrated Marketing’s Digital team leads organic and paid activity across owned, earned and paid social and digital channels with thumb-stopping social content, high-impact digital advertising, insights-driven strategy planning, robust data & marketing technology integrations as well as openness to innovation. Our mission is to drive brand and title awareness, social buzz, and achieve business goals for movie ticket sales and Disney+ subscriber retention.
About the Role
We're seeking a IData, Marketing Technology & Web Intern who will support roles in data engineering, integration, marketing technology operations, and web content ops as part of business-as-usual (BAU) tasks.
In this position, you'll primarily focus on data-related tasks and web content production, with opportunities to explore AWS hosting and products, data engineering design, data analytics platforms, and potentially machine learning (ML) and artificial intelligence (AI), depending on project priorities and timelines.
Responsibilities:
- Aid in data processing, distribution, and visualization.
- Support various digital technologies, platforms, and processes.
- Support reporting dashboard, POC creation and data analysis.
- Assist with web content management operations.
- Help implement tracking for audience behaviours and conversions across digital channels.
- Coordinate tasks and projects with global tech teams and agencies
- Participate in ad-hoc projects as assigned.
Internship Requirements:
- Currently an undergraduate pursuing a bachelor's degree
- Still an undergraduate and not yet graduated during the internship period
- Must be available for full-time internship commitment(Monday to Friday, 9am-6pm) between July to December 2026
- Indicate your internship availability (start and end date) in your resume
- Indicate your expected graduation date in your resume
Please apply to this job posting only if you are available for a full-time internship during the stated period. Please note that only shortlisted candidates will be contacted.
Requirements:
- Currently pursuing a bachelor’s degree in Computer Science, Business Analytics, Marketing, or a related discipline, with a solid understanding of content production, data analytics, and machine learning, or relevant areas.
- Strong proficiency in data-related scripting languages such as Python and SQL.
- Basic data science skills with knowledge of big data technologies
- Familiarity with web technologies such as **HTML, CSS, and JavaScript,**along with web content production
- Ability to understand the value of automation to streamline the functions of technology, digital and marketing teams
- Confident in communicating effectively with business partners and top management
Good to Have:
- Hands-on experience with BI reporting tools(PowerBI, Tableau, Looker, or Salesforce Marketing Cloud Intelligence/Datorama, etc.)
- Familiarity with cloud platforms like AWS, Azure, or GCP.
- Experience with building and maintaining data pipelines, integrating APIs and transforming data from various sources.
- Experience in leveraging **machine learning (ML)**and artificial intelligence (AI) in relevant data contexts.
- Highly self-motivated and meticulous
- Ability to adapt quickly to a constantly evolving organizations, and to thrive in a fast-paced working environment
- Strong team player; possesses good interpersonal skills with a high level of enthusiasm in collaborating in cross functional teams
- Adopts a challenging and questioning approach, proposing information and solutions in creative ways
- Passionate team player with a never-ending curiosity
- Self-starter that needs minimal supervision in motivating himself/herself, always looking for opportunities to contribute to our projects.
- Ability to prioritize workload to meet competing deadlines and manage stakeholder expectations
- Strategic thinker with good communications skills
- Excellent command of written and spoken English
The Walt Disney Company is an Equal Opportunity Employer. We strive to be a diverse workforce that is representative of our audiences, and where all can thrive and belong. We are committed to building a team that includes and respects a variety of voices, identities, backgrounds, experiences and perspectives.
Job Posting Segment:
APAC Marketing
Job Posting Primary Business:
APAC Brand, Content, and Franchise Marketing
Primary Job Posting Category:
Digital Media / Social Media
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Singapore, Singapore
Alternate City, State, Region, Postal Code:
Date Posted:
2026-03-05
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About Walt Disney

Walt Disney
PublicThe happiest place on earth.
10,001+
Employees
Burbank
Headquarters
Reviews
4.1
34 reviews
Work Life Balance
3.2
Compensation
4.7
Culture
4.3
Career
4.2
Management
4.1
87%
Recommend to a Friend
Pros
Top-tier compensation with excellent equity
Brilliant colleagues passionate about the field
Impact on the future of AI development
Cons
Extremely fast-paced with constant changes
High expectations and pressure to deliver
Work-life balance can suffer during critical periods
Salary Ranges
51 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Information Management Engineer
1 reports
$132,550
total / year
Base
$101,962
Stock
-
Bonus
-
$132,550
$132,550
Interview Experience
1 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
100%
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