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Lead Analytical Engineer, Product & Technology Analytics

The Walt Disney Company is a leading diversified international family entertainment and media enterprise with three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
$138,900 - $195,000
Data
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
Enterprise SaaS · Entertainment

Job Description

Disney Streaming is seeking a Lead Analytical Engineer to join the Product Performance and Forensics Analytics team within the broader Product & Technology Analytics function. This is a highly visible and technically complex role where you'll be responsible for developing and maintaining scalable data pipelines, creating core business logic, and ensuring high data quality standards across browse telemetry and product health metrics.

The role sits at the intersection of engineering and analytics, working with Disney's premier streaming platforms including Disney+, Hulu, and ESPN. You'll be collaborating with analysts, data engineers, product managers, and engineering partners to transform raw telemetry into trusted datasets, dashboards, and insights that drive decision-making across these major streaming platforms.

As a Lead Analytical Engineer, you'll be responsible for designing and maintaining robust data pipelines, developing reusable data models, and ensuring data quality standards. You'll work on anomaly detection systems, operational dashboards, and build scalable datasets using modern tools like Databricks, Looker, and Snowflake. The role also involves mentorship of junior team members and establishing best practices for coding and data governance.

The position offers competitive compensation ranging from $138,900 - $195,000 depending on location (LA or NY), plus potential bonuses and long-term incentives. You'll be part of Disney Direct to Consumer, overseeing the Hulu and Disney+ streaming businesses within Disney Entertainment, helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere.

This is an ideal opportunity for someone who thrives in a technical environment, has strong analytical skills, and wants to make an impact at scale in the streaming media industry. You'll be working with cutting-edge data technologies while contributing to products that reach millions of users globally. The role offers a unique blend of technical challenge and business impact, with the opportunity to work on some of the most popular streaming platforms in the world.

Last updated 14 days ago

Responsibilities For Lead Analytical Engineer, Product & Technology Analytics

  • Design, build, and maintain robust, scalable data pipelines
  • Develop and refine trusted, reusable data models and core logic
  • Partner with teams to ensure data completeness, accuracy, and consistency
  • Contribute to anomaly detection systems and operational dashboards
  • Work closely with analysts, product managers, and engineers
  • Build scalable datasets in platforms like Databricks, Looker, and Snowflake
  • Provide technical guidance to junior engineers
  • Establish coding standards and data governance practices

Requirements For Lead Analytical Engineer, Product & Technology Analytics

Python
  • Bachelor's degree in Economics, Statistics, Analytics, Computer Science, MIS, Data Engineering, or related field
  • 7+ years of experience in analytical engineering, data engineering, or data analytics
  • Deep understanding of ETL/ELT principles, data architecture, and performance optimization
  • Experience with Databricks, Airflow, Spark, or similar platforms
  • Strong collaboration skills with technical and non-technical stakeholders
  • Proficiency with cloud-based data environments (Snowflake, Redshift, BigQuery)
  • Experience with BI tools like Looker and Tableau
  • Strong data hygiene practices including version control and testing

Benefits For Lead Analytical Engineer, Product & Technology Analytics

Medical Insurance
  • Medical benefits
  • Financial benefits
  • Bonus potential
  • Long-term incentive units

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