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Bachelor's degree in data analytics, mathematics, computer science, statistics, or related field. Collaborating with finance, product, data engineering, data science, and business teams, this position will act as a subject matter expert for all facets of subscriber growth and churn data for Disney+, ESPN+, Star+, and Hulu. This expertise will manifest in the design and implementation of core subscriber data models that enable internal clients to explore, analyze, and monitor data.
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They manage the critical subscriber data from which the entire business measures subscriber growth and fellow Analytics teams contextualize against, and provide the organization with the analytical data sets to measure how major initiatives result in subscriber growth.
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Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc. Champion data quality by fostering relationships with the engineering organization and influencing engineering prioritization, requirements, and roadmap decisions.
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Manage the design and implementation of scalable, intuitive data structures for the subscriber and churn pipelines to answer the analytical and business questions of today and tomorrow. Partner with stakeholder teams to perform quantitative analyses providing detailed insights on the complexities of our subscriber & churn data.
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Communicate subscriber data metrics and deep findings to both technical and non-technical audiences. Own the documentation process for wide-ranging audiences to use core subscriber and churn data as intended.
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The Disney Streaming Subscriber Analytics organization is focused on measuring and understanding the growth of the entire Disney Streaming business, which includes everything from acquisition to engagement to churn.
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Analytics teams are organized around separate focus areas, which cover the subscriber journey. 2+ years leading analytics teams. Familiarity with Python/R or other statistical programming languages.
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Familiarity with Airflow. The Subscriber Analytical Engineering team is focused on measuring and understanding the growth of the entire Disney Streaming business. Demonstrated analytical proficiency, including expertise in SQL and ETL processing.
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We are seeking a Senior Manager who will focus on understanding and communicating subscriber growth and churn behavior to our many stakeholders. The hiring range for this position in New York, NY is $156,300 to $209,600, and in Santa Monica, CA is $149,300 to $200,200 per year.
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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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Passionate about driving data literacy and building a positive learning environment around analytics, data science, and data visualization topics. In this Sr. Analyst role, you will be part of a centralized data analytics community that encourages collaborations, learning opportunities, and thought partnership from other analysts and data scientists.
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Basic Qualifications/RequirementsBachelor’s Degree in Business Analytics, Statistics, Data Science, or related field3 or more years of relevant professional experience in analytics, artificial intelligence, or automationQualified candidates must be legally authorized to be employed in the United States.
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What we look for:A minimum of 7 years experience in people analytics, data science, industrial/organizational psychology, or related field. This role leads the work and team required to translate raw people data, analytics and statistics into data-driven insights to shape our people strategy and drive business growth.
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Stay current with industry trends and best practices in People analytics and data science and recommend innovative approaches to enhance People analytics capabilities. Desired Skills and Experience: Bachelor's degree in HR Management, Statistics, Data Science, Business Analytics, or a related field.
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Key Responsibilities: Contribute to the establishment and growth of a centralized People Analytics team, serving as a subject matter expert on best practices, methodologies, tools, data governance, metric definitions, data storage, and the creation of the People Analytics roadmap.
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data science jobs Title: analytics sr in Holdrege, Nebraska
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