LI
LiteraData Analyst
Data Analyst within Revenue Operations designing scalable reporting and data solutions. Leveraging Power BI and SQL to support actionable insights for sales, marketing, and customer success teams.
About the role
- 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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