Top Data & Analytics Jobs

Interns will support the Decision Science team by performing data analysis, preparing machine learning models, and assisting in strategy development to enhance revenue across Disney's business units.

The Director of Machine Learning Engineering leads a team of ML Managers and Engineers, collaborates with Data Scientists, oversees the development of AI/ML models, manages vendor relationships, and ensures alignment with business objectives. This role requires strong leadership, communication skills, and expertise in software engineering and machine learning.

As a Lead Data Engineer, you will oversee project prioritization, data planning, development, and testing for the Park/Ticket Yield Management portfolio. Responsibilities also include providing technical leadership, ensuring development standards, code reviews, and managing sprint planning while mentoring team members and influencing project direction.

The Business Analyst will collaborate with technology teams to identify business needs, document requirements, analyze processes, and support project management by facilitating communication and tracking progress.

The Senior Data Analyst will develop data solutions to measure sports content performance and partner with various business teams to create insights for strategic decisions.

The role involves analyzing subscriber data, developing reporting processes, managing timelines, and communicating insights to business stakeholders in a sports-focused streaming environment.

As a Lead Machine Learning Engineer, you will drive projects end-to-end, leveraging machine learning techniques, collaborating with teams, and overseeing code deployment.