layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Decision Science Product Engineering Graduate Associate, Spring 2027 at Walt Disney

The intern will be data-driven, business-minded, curious, and collaborative, with a passion for solving business questions through data analysis, software development, and application of analytical products. In this position, you will help transform data into meaningful business insights and support scoped project work that may include data extraction, validation, automation, documentation, testing, dashboard development, or small enhancements to existing products. The role includes working with analytically minded peers and experienced engineers, where you are encouraged to contribute ideas, ask thoughtful questions, research solutions, and communicate progress and learnings clearly to both technical and non-technical audiences.
As an intern, you will make an impact by: Support the development, testing, and maintenance of data-driven tools, applications, dashboards, and analytical workflows used by internal business partners.
Assist with data extraction, transformation, validation, and quality checks using SQL and Python or related tools.
Partner with team members to understand business questions, data sources, existing technical processes, and product workflows.
Contribute to smaller-scale enhancements, automation opportunities, bug fixes, documentation improvements, or analytical deliverables that integrate into larger business processes.
Learn how internal applications receive, store, transform, and use data to support business decisions.
Participate in design discussions, working sessions, sprint planning, testing activities, and team reviews under the guidance of experienced product engineers and decision scientists.
Collaborate with Product Engineering, Data Engineering, Application Engineering, Decision Science, and business stakeholders throughout the development process.
Research technical questions, troubleshoot issues, investigate data discrepancies, and share findings or recommendations with the team.
Communicate project progress, blockers, insights, and learnings clearly through documentation, presentations, or team updates.
Build practical experience with software development, data engineering, analytics, product delivery, and stakeholder communication in a professional environment.
Required Qualifications & Skills
Foundational experience with SQL and at least one programming language, preferably Python.
Familiarity with core software development concepts such as functions, data structures, testing, debugging, and version control.
Ability to work with structured data and perform basic data analysis, validation, or reporting.
Ability to build relationships and partner with both technical and non-technical teams
Confirmed excellent written and verbal communication skills
Knowledge of basic database structure
Ability to work both independently and as part of a collaborative team
Strong attention to detail
Ability to balance multiple priorities and adapt to a constantly evolving business environment
Ability to explain technical concepts to non-technical audiences

Experience with Python libraries such as pandas, NumPy, or similar data analysis tools.
Exposure to relational databases such as Snowflake, PostgreSQL, MySQL, or similar platforms.
Familiarity with GitHub, GitLab, Docker, cloud platforms, or cloud services such as AWS, Azure, or Google Cloud.
Exposure to Agile practices, sprint planning, Jira, technical documentation, or collaborative software delivery processes.
Interest in forecasting, advertising technology, media, entertainment, operations research, machine learning, AI, or revenue management.
Prior internship, academic project, coding project, research experience, or coursework involving data, analytics, dashboards, or software development.
Education
Currently enrolled as a Graduate level student pursuing a graduate degree in an analytical field including Computer Science, Computer Programming, Statistics, Mathematics, Industrial Engineering, or other related quantitative field at an accredited college or university.
Eligibility Requirements & Program Information
Candidates for this opportunity MUST meet all the below requirements: Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR currently participating in a Disney College Program or Disney Internship
Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program.
Be at least 18 years of age
Possess unrestricted work authorization
Additional Information
The approximate dates of this internship are January through June 2027
Able to provide/have reliable transportation to/from work
Fully available from Monday-Friday for the duration of the internship, 40 hours per week
Florida Housing
We provide limited housing opportunities for Florida-based interns through American Campus Communities, for more information click here .
The pay rate for this internship in Florida is $47 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: https://jobs.disneycareers.com/benefits.
Job Posting Segment: Enterprise Technology and Data
Job Posting Primary Business: Decision Science & Integration
Primary Job Posting Category: Technology Intern
Employment Type: Full time
Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA

Decision Science Product Engineering Graduate Associate, Spring 2027

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