Manager Data Analytics

The Walt Disney Company-posted 8 days ago

Full-time • Manager

Santa Monica, CA

5,001-10,000 employees

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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.

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.

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.

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

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