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
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
Skills
Product Analytics
Telemetry
Data Quality
Anomaly Detection
Performance Metrics
Executive Dashboards
Root Cause Analysis
Data Pipelines
Event Instrumentation
The Walt Disney Company
Leading producers & providers of entertainment and information