Disney Streaming Services

Data Analyst, Partner Analytics

Job description

Job Summary We are looking for a Data Analyst to join our Partner Analytics team to support the reporting and analysis of Disney+ subscription distribution partners (such as Verizon). The role will visualize and develop dashboards and executive reports that enable visibility and quick insights into our rapidly growing and expanding business. This role requires acute attention to detail, a strong sense of accountability, collaboration skills, and hands-on experience with reporting and communicating data. You will be working on data analysis, KPI definitions, data investigations and the delivery of organized insights and ideas for rapid and clear communication. The Subscriber Analytics function masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations. This team collaborates cross-functionally across the Disney Streaming Services organization, as well as groups and stakeholders from business units across The Walt Disney Company to generate insightful, compelling and strategic analysis and plans. Product, Marketing, Engineering and Analytics teams will be your partners to execute on innovative methods and best-in-class practices that power all of our improvements. 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. Responsibilities Create, deliver and continuously iterate on reporting views focused on partner subscriber growth and behaviorPartner with Product and Engineering teams to deeply understand partner integrations and the underlying systems behaviorPartner closely with business stakeholders to identify and unlock opportunities to drive subscriber growthWork with stakeholders to outline and define data definitions and apply across key metricsAnalyze and report key data quality health KPIs through regular metric monitoring and revise as needed as the number of datasets and critical systems expandAnalyze subscriber and behavior data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and contentProvide ongoing reporting and analysis to inform and support business, product and marketing decisions Basic Qualifications 2+ years of hands-on analytical work experience with SQL and/or PythonProficiency with SQLHigh familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, AirflowExpertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and toolsExperience operating in an SDLC environment and deploying codeStrong analytical skills with the ability to apply business strategy to data analysis and recommendationsStrong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation)Perform root-cause analysis to identify patterns in financial and customer data sets, including subscriber acquisition and retention metricsStrong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solutions, document the changes, and communicate organizational impactAbility to evaluate risks and provide recommendations in a timely mannerExplain data anomalies, develop data visualizations and reporting to drive key messaging and recommendationsFamiliarity with data exploration and data visualization tools like Tableau or Looker. It’s a plus if you can share a portfolio of clear, intuitive and insightful visualizationsAbility to think strategically, analyze and interpret market and consumer information Preferred Qualifications Experience in the streaming media industry or other subscription-based serviceExperience in the technology industry, knowledge of data productsPython experience writing, managing and deploying codeBA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) is desired 776282BR

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