Co - Op Data Analyst contributing to data solutions for HPN. Supporting data - driven decision making and improving enterprise strategy.
About the role
- Manager of Product & Technology Analytics leading a high-impact analytics team at Disney Streaming. Driving product performance analysis and fostering team collaboration across multiple platforms.
Responsibilities
- Help drive the vision and priorities for a high-impact analytics team focused on product telemetry, anomaly detection, and performance reporting
- Partner with engineering and data engineering teams to monitor, validate, and improve the quality of browse telemetry and event instrumentation
- Drive the creation and ongoing development of core performance metrics, executive dashboards, and deep-dive analyses on user behavior and platform engagement
- Act as a trusted advisor to Product, Engineering, and Business stakeholders across Disney+, Hulu, and ESPN to influence product roadmaps and feature prioritization
- Drive rapid-response investigations and anomaly detection efforts to diagnose data or product issues and guide timely remediation
- Collaborate on the development and maintenance of scalable data pipelines and business logic to support consistent, reliable reporting
- Deliver intuitive self-serve dashboards and analytics tools using Looker, Tableau, and Databricks to democratize data access
- Mentor, and grow a diverse team of analysts, fostering a culture of curiosity, collaboration, and excellence
Requirements
- 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
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- full range of medical, financial, and/or other benefits, dependent on the level and position offered
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