Disney Streaming is seeking a Lead Data Analyst, Analytical Engineering to join the Product Performance and Forensics Analytics team to develop and maintain scalable data pipelines, create core business logic, and ensure high data quality standards across browse telemetry and product health metrics.
Requirements
- 7+ years of experience in analytical engineering, data engineering, or data analytics with strong SQL and data modeling expertise.
- Deep understanding of ETL/ELT principles, data architecture, and performance optimization.
- Proven experience building scalable data products and pipelines using tools such as Databricks, Airflow, Spark, or similar platforms.
- Fluency in building and maintaining production-grade datasets in cloud-based data environments (e.g., Snowflake, Redshift, BigQuery).
- Proficiency with BI tools such as Looker and Tableau, including building curated data layers and performance tuning.
- Strong data hygiene practices, including version control, code reviews, unit testing, and documentation.
- Experience working with browse telemetry or event-based product instrumentation data.
Responsibilities
- Design, build, and maintain robust, scalable, and efficient data pipelines in collaboration with data engineering and analytics teams.
- Develop and refine trusted, reusable data models and core logic that power key metrics and dashboards across the organization.
- Partner with software and data engineering teams to ensure data completeness, accuracy, and consistency, particularly for browse telemetry and product instrumentation.
- Contribute to anomaly detection systems and operational dashboards that track product health, user flows, and data quality KPIs.
- Build scalable, performant datasets in platforms such as Databricks, Looker, and Snowflake to enable self-service analytics.
- Provide technical guidance and best practices to junior analytical engineers and analysts on topics such as pipeline optimization, testing, and documentation.
- Champion the creation and maintenance of clear technical documentation and establish coding standards and data governance practices.
Other
- Bachelor's degree in Economics, Statistics, Analytics, Computer Science, MIS, Data Engineering, or related field
- Strong ability to collaborate with both technical and non-technical stakeholders to deliver high-impact data solutions.
- Excellent problem-solving skills and attention to detail.
- Proficiency in Python or another scripting language for data transformation or orchestration.
- Familiarity with streaming media or direct-to-consumer digital products.
