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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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We are seeking a Senior Manager who will focus on understanding and communicating subscriber growth and churn behavior to our many stakeholders. Analytics teams are organized around separate focus areas, which cover the subscriber journey.
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2+ years leading analytics teams. Familiarity with Python/R or other statistical programming languages. Familiarity with Airflow. The Subscriber Analytical Engineering team is focused on measuring and understanding the growth of the entire Disney Streaming business.
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Demonstrated analytical proficiency, including expertise in SQL and ETL processing. 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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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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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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The Science & Analytics Leader will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery.
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Sr) Manager of Marketing Strategy & Analytics (Korean Speaking) is a business development and marketing role within Agoda’s marketing department. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
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data science jobs Title: analytics sr manager in Holdrege, Nebraska
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