The Data Analyst for Direct To Consumer (DTC) will transform data into actionable insights to drive business decisions for Disney's streaming products. This role involves analyzing performance metrics, conducting deep-dive analyses to uncover user behavior patterns, and collaborating with product owners to enhance merchandising strategies. An ideal candidate is a problem-solver with strong communication skills and analytical experience, capable of using data visualization tools and statistical programming for insightful reporting and experimentation.
The Direct To Consumer (DTC) Product & Tech Analytics team is seeking a Data Analyst who will be an outstanding addition to our team. We partner with other teams across the business to turn data into information, information into insights and insights into key business decisions that steer the strategic direction of the company. The right person for this role loves problem-solving, even with incomplete information and is a good communicator; telling high-impact stories with data. If you are energized from transforming data into knowledge and driving business action, then this is a phenomenal role for you.
You will design innovative analytic approaches to measure success, test hypotheses, extract actionable insights, and develop recommendations to drive the performance of Disney’s DTC streaming products (Disney+, Hulu, ESPN+). You’ll work with product owners to understand merchandising strategies and help create data tools to advance these strategies.
#DISNEYTECH
The hiring range for this position in New York, NY is $98,000 to $131,300 per year and in Santa Monica, CA is $93,400 to $125,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Data Analyst, Data Visualization, SQL, Business Performance, User Behavior Analysis, Data Insights, Experimentation, Streaming Products, Analytical Experience, Statistics
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