Top Data & Analytics Jobs in NYC, NY
The Disney Streaming Analytics' Content & Engagement Core Data team is seeking a Data Analyst to focus on understanding and communicating engagement behavior to stakeholders. Responsibilities include ETL & Metric Design, Creation of Single Source of Truth, Partnership and Communication, and Reporting and Performance. Minimum qualifications include a Bachelor's degree in a relevant field, 3+ years of analytical experience, proficiency in SQL, Python, and R, project management experience, and strong communication skills. Nice to haves include a sense of humor and unique passions.
Lead Data Engineer role at Disney Entertainment & ESPN Technology focusing on building infrastructure for media, advertising, and distribution businesses. Responsible for ETL processes and data pipelines for fraud detection systems. Collaborate with data scientists and stakeholders to meet data requirements.
The Executive Director of Data & Analytics Operations at Disney Entertainment leads a high-performance team of data engineers, business intelligence engineers, and data scientists. Responsibilities include overseeing data asset management, identity & audience graph, business intelligence tool development, and analytics solution operation. The role requires a deep understanding of data management, data engineering, and data science, along with experience in contract negotiation and data privacy compliance practice. Minimum qualifications include 12 years of experience in media and advertising measurement.
Lead and grow a team to build state of the art event-driven real-time ML ecosystem, provide technical direction for the ML application and pipeline management team, partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment, mentor and facilitate individual careers, maintain a culture of innovation, quality, and transparency, work in an Agile environment.
The Lead QA Analyst will be responsible for creating and executing test cases, finding and replicating defects, ensuring deliverables meet functional specifications, participating in sprint plan reviews, and collaborating with multiple teams to ensure automation test coverage.
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