Lead Data Analyst

Disney Direct to Consumer

Job title:

Lead Data Analyst

Company

Disney Direct to Consumer

Job description

About The TeamThe Subscriber Data Intelligence team is looking for a Lead Data Analyst who will help to measure, understand, and take action to mitigate subscriber churn across a growing ecosystem of Disney’s streaming service offerings (Disney+, Hulu, and ESPN+). Our team masters exploratory data analysis, advanced reporting, data visualization and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates cross-functionally across the Direct to Consumer organization as well as with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Finance, Business Operations, Business Strategy, and other Analytics teams to ensure the business understands complex retention trends and implications for strategic decision making. The team’s work will drive the development of business and operational plans that are expected to have broad influence at all levels of the organization.ResponsibilitiesCommunicate complex trends and churn drivers to a wide array of business stakeholders with varying technical expertise from operational teams to executive audiences, both in oral presentations and via written reportsPartner closely with business stakeholders (Product, Business Operations, Finance, Marketing etc.) to identify and unlock opportunities for improved subscriber retentionCreate and maintain operational dashboards in Tableau and Looker to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve toolsTranslate complex business questions into SQL including proper cohorting, calculations, filtering criteria and/or aggregationsPartner with Data Science teams to uplevel analyses using clustering/segmentation, regression modeling, and/or predictive modelingRequired QualificationsBachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field7+ years of strategic analysis to inform product or business decision making5+ years of hands-on analytical work experience with SQL (ETL ownership, complex transformations, development of “analytical” datasets)Strong analytical skills with the ability to apply business strategy to data analysis and recommendationsAbility to think strategically, analyze and interpret first and third party informationExperience manipulating large data sets and interpreting data trends using a multitude of disparate data sources and toolsExpertise with data exploration and data visualization tools like Tableau or LookerStrong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with possible solutions, document the changes, and communicate organizational impactStrong experience in documenting the data requirements, data strategy, data rules (standardization, cleansing, and validation)Desired QualificationsExperience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based productExperience in the technology industry and knowledge of how to build and implement data productsExperience presenting data stories to executive audiencesExperience operating in an SDLC environment and deploying codeAdditional Information#DISNEYTECH
The hiring range for this position in Santa Monica, California is $136,100 to $182,400 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.

Expected salary

$136100 – 182400 per year

Location

Santa Monica, CA

Job date

Thu, 26 Dec 2024 08:56:09 GMT

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