The Data Analyst in the Direct To Consumer Product & Tech Analytics team transforms complex data into actionable insights that guide business decisions. This role involves performance reporting, experimentation, and deep-dive analysis to understand user behaviors on streaming platforms like Disney+, Hulu, and ESPN+. The ideal candidate is skilled in data visualization, SQL, and has a strong passion for analytics-driven storytelling.
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 Analysis, Business Intelligence, SQL, Data Visualization, User Behavior Analysis, Analytics, Experiment Design, Performance Metrics, Statistical Analysis, Data Insights
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