Job Posting Title:Decision Science Data Engineering Intern, Spring 2025Req ID:10101234Job Description:About the Role & ProgramThe Disney Decision Science + Integration (DDSI) organization supports clients across The Walt Disney Company including the Disney Experiences segment which includes Parks and Resorts both domestic and international, Consumer Products, and Disney Signature Experiences, as well as the Disney Entertainment segment which includes Studios Content (Disney Theatrical Group), General Entertainment Content, and ESPN and Sports Content.DDSI leverages technology, data analytics, optimization, statistical, and econometric modeling to explore opportunities, shape business decisions, and drive business value.The timeline of this internship is from January through June 2025.What You Will DoThe Data Engineering consulting team uses technology, data analysis, and data visualization to build data pipelines that support analytic business processes and decisions. Candidates should have a natural curiosity about data, take a proactive role in problem-solving how to get data into the right hands, be able to prioritize, and be teammates in a collaborative environment.You will support park projects that build a strong return on company investments! As an intern, you will help this process by:Assisting in the development of data transformation processes using Snowflake and PythonGenerating data validation processes, while maintaining resultsCollaborating with other project team members to include data processes in the overall pipelineInvestigating possible causes of inaccurate data aggregation and transformationMaintaining technical system documentationPreparing presentations for project team membersImplementing visualization tools, developing dashboards, and reportingRequired Qualifications & SkillsConfirmed proficiency with SQL and Python to perform data transformationStrategic problem-solving & analytical skillsStrong attention to detailUnderstanding of TableauExperience collecting & analyzing data and reporting on the resultsExcellent oral/written communication skills to technical and non-technical audiencesAbility to adapt to an evolving business environment and balance multiple opposing prioritiesProficiency in Microsoft ExcelAbility to work well independently and in a team environmentPreferred QualificationsValidated experience with SnowflakeConfirmed experience with Python, using packages primarily focused on data acquisition and transformationConfirmed experience with Tableau or similar data visualization toolsKnowledge of code repository tools, such as GitLab or GitHubKnowledge of process automation tools, such as Apache AirflowEducationCurrently enrolled as an undergraduate level student or graduated within six (6) months of application submission, pursuing a degree in Computer Science, Information Technology, Data Analytics, or a related field.Eligibility Requirements & Program InformationCandidates 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 must have graduated from a college/university within 6 months at time of application posting OR currently participating in a Disney College Program or Disney InternshipBe at least 18 years of ageHave not completed one year of continual employment on a Disney internship or Disney College ProgramPossess unrestricted work authorizationAdditional InformationFully available from Monday-Friday for the duration of the internship, 40 hours per weekThe timeline of this internship is from January through June 2025.Florida HousingWe provide limited housing opportunities for Florida-based interns through American Campus Communities, for more information click here.Job Posting Segment:Corporate StrategyJob Posting Primary Business:Decision Science & IntegrationPrimary Job Posting Category:Technology InternEmployment Type:Full timePrimary City, State, Region, Postal Code:Lake Buena Vista, FL, USAAlternate City, State, Region, Postal Code:Date Posted:2024-09-13