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Manager Data Analytics
Manager Data AnalyticsDisney Direct to Consumer • Santa Monica, CA, US
Manager Data Analytics

Manager Data Analytics

Disney Direct to Consumer • Santa Monica, CA, US
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Job Description

About Direct To Consumer (DTC)

Disney Streaming Direct To Consumer (DTC) is seeking an experienced and strategic Manager, Product & Technology Analytics to join our Product Performance and Forensics Analytics team. This team plays a critical role in evaluating product health, ensuring data integrity, and delivering actionable insights that influence product development and executive decision-making.

You will lead a team of analysts responsible for assessing and improving browse telemetry data quality and producing high-impact analysis of streaming product performance across Hulu and Disney+. Working cross-functionally with Product, Engineering, Data Engineering, and Analytics partners, you will help develop scalable solutions, ensure metric consistency, and uncover the “why” behind key product trends and anomalies.

Responsibilities

  • Strategic Leadership : Help drive the vision and priorities for a high-impact analytics team focused on product telemetry, anomaly detection, and performance reporting.
  • Data Quality & Instrumentation : Partner with engineering and data engineering teams to monitor, validate, and improve the quality of browse telemetry and event instrumentation.
  • Product Performance Reporting : Drive the creation and ongoing development of core performance metrics, executive dashboards, and deep-dive analyses on user behavior and platform engagement.
  • Cross-functional Collaboration : Act as a trusted advisor to Product, Engineering, and Business stakeholders across Disney+, Hulu, and ESPN to influence product roadmaps and feature prioritization.
  • Forensics & Root Cause Analysis : Drive rapid-response investigations and anomaly detection efforts to diagnose data or product issues and guide timely remediation.
  • Data Infrastructure : Collaborate on the development and maintenance of scalable data pipelines and business logic to support consistent, reliable reporting.
  • Tooling & Enablement : Deliver intuitive self-serve dashboards and analytics tools using Looker, Tableau, and Databricks to democratize data access.
  • Team Development : Mentor, and grow a diverse team of analysts, fostering a culture of curiosity, collaboration, and excellence.

Required Qualifications

  • A Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related field
  • 8+ years of experience in data analytics, data engineering, or analytical engineering, including at least 3 years managing technical teams.
  • Proven ability to lead analysts and drive strategic impact through data.
  • Deep fluency in SQL and experience with large-scale, distributed data systems (e.g., Databricks, Snowflake, Redshift).
  • Strong business intuition and ability to translate technical analysis into clear, actionable insights for stakeholders at all levels.
  • Expertise in exploratory data analysis, anomaly detection, and root cause investigation.
  • Proficiency with data visualization and reporting tools (e.g., Looker, Tableau, Databricks).
  • Strong understanding of product telemetry, user funnel analysis, and operational monitoring.
  • Demonstrated experience building and maintaining scalable data products or pipelines.
  • Exceptional communication skills, both written and verbal.

    • Preferred Qualifications

  • Experience working with scripting languages such as Python or R
  • Experience in the streaming media industry and / or supporting a direct-to-consumer subscription-based product
  • Experience in the technology industry and knowledge of how to build and implement data products
  • Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
  • Experience operating in an SDLC environment and deploying code

    • Additional Information

    #DISNEYTECH

    #DISNEYANALYTICS

    The hiring range for this position in Los Angeles is $138,900 - $186,200 per year and in New York is $145,400 - $195,000 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.

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    Data Manager • Santa Monica, CA, US