The Walt Disney Company
Lead Analytical Engineer, Product & Technology Analytics
The Walt Disney Company, Santa Monica, California, United States, 90403
Lead Analytical Engineer, Product & Technology Analytics
Lead Analytical Engineer, Product & Technology Analytics Apply Now Apply Later
Job ID
10128076
Location
Santa Monica, California, United States / New York, New York, United States
Business
Disney Direct to Consumer
Date posted 8月. 13, 2025 Job Summary:
Disney Streaming is seeking a
Lead Analytical Engineer
to join the
Product Performance and Forensics Analytics
team within the broader Product & Technology Analytics function. In this highly visible and technically complex role, 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. You’ll collaborate closely with analysts, data engineers, product managers, and engineering partners to turn raw telemetry into trusted datasets, dashboards, and insights that power decision-making across Disney+, Hulu, and ESPN. This role is ideal for someone who thrives at the intersection of engineering and analytics and wants to drive data excellence at scale. Responsibilities Pipeline Ownership:
Design, build, and maintain robust, scalable, and efficient data pipelines in collaboration with data engineering and analytics teams.
Data Modeling:
Develop and refine trusted, reusable data models and core logic that power key metrics and dashboards across the organization.
Data Quality:
Partner with software and data engineering teams to ensure data completeness, accuracy, and consistency, particularly for browse telemetry and product instrumentation.
Performance Monitoring:
Contribute to anomaly detection systems and operational dashboards that track product health, user flows, and data quality KPIs.
Cross-functional Collaboration:
Work closely with analysts, product managers, and engineers to translate business needs into technical data solutions.
Tooling & Enablement:
Build scalable, performant datasets in platforms such as Databricks, Looker, and Snowflake to enable self-service analytics.
Mentorship & Leadership:
Provide technical guidance and best practices to junior analytical engineers and analysts on topics such as pipeline optimization, testing, and documentation.
Documentation & Standards:
Champion the creation and maintenance of clear technical documentation and establish coding standards and data governance practices.
Required Qualifications 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 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.
Strong ability to collaborate with both technical and non-technical stakeholders to deliver high-impact data solutions.
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.
Excellent problem-solving skills and attention to detail.
Preferred Qualifications Experience working with browse telemetry or event-based product instrumentation data.
Proficiency in Python or another scripting language for data transformation or orchestration.
Familiarity with streaming media or direct-to-consumer digital products.
Experience implementing anomaly detection systems or contributing to root cause investigations.
Knowledge of data governance, privacy, and compliance best practices.
#DISNEYANALYTICS #DISNEYTECH
The hiring range for this position in Los Angeles is $138,900 - $186,200 per year and in New York is $145,400 - $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer:
Disney’s Direct to Consumer team oversees 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. About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer . Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Lead Data Analyst Santa Monica, California, United States / New York, New York, United States Sr Data Analyst New York, New York, United States / Santa Monica, California, United States Disability Accommodation for Employment Applications
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs . We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences.
#J-18808-Ljbffr
Lead Analytical Engineer, Product & Technology Analytics Apply Now Apply Later
Job ID
10128076
Location
Santa Monica, California, United States / New York, New York, United States
Business
Disney Direct to Consumer
Date posted 8月. 13, 2025 Job Summary:
Disney Streaming is seeking a
Lead Analytical Engineer
to join the
Product Performance and Forensics Analytics
team within the broader Product & Technology Analytics function. In this highly visible and technically complex role, 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. You’ll collaborate closely with analysts, data engineers, product managers, and engineering partners to turn raw telemetry into trusted datasets, dashboards, and insights that power decision-making across Disney+, Hulu, and ESPN. This role is ideal for someone who thrives at the intersection of engineering and analytics and wants to drive data excellence at scale. Responsibilities Pipeline Ownership:
Design, build, and maintain robust, scalable, and efficient data pipelines in collaboration with data engineering and analytics teams.
Data Modeling:
Develop and refine trusted, reusable data models and core logic that power key metrics and dashboards across the organization.
Data Quality:
Partner with software and data engineering teams to ensure data completeness, accuracy, and consistency, particularly for browse telemetry and product instrumentation.
Performance Monitoring:
Contribute to anomaly detection systems and operational dashboards that track product health, user flows, and data quality KPIs.
Cross-functional Collaboration:
Work closely with analysts, product managers, and engineers to translate business needs into technical data solutions.
Tooling & Enablement:
Build scalable, performant datasets in platforms such as Databricks, Looker, and Snowflake to enable self-service analytics.
Mentorship & Leadership:
Provide technical guidance and best practices to junior analytical engineers and analysts on topics such as pipeline optimization, testing, and documentation.
Documentation & Standards:
Champion the creation and maintenance of clear technical documentation and establish coding standards and data governance practices.
Required Qualifications 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 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.
Strong ability to collaborate with both technical and non-technical stakeholders to deliver high-impact data solutions.
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.
Excellent problem-solving skills and attention to detail.
Preferred Qualifications Experience working with browse telemetry or event-based product instrumentation data.
Proficiency in Python or another scripting language for data transformation or orchestration.
Familiarity with streaming media or direct-to-consumer digital products.
Experience implementing anomaly detection systems or contributing to root cause investigations.
Knowledge of data governance, privacy, and compliance best practices.
#DISNEYANALYTICS #DISNEYTECH
The hiring range for this position in Los Angeles is $138,900 - $186,200 per year and in New York is $145,400 - $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer:
Disney’s Direct to Consumer team oversees 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. About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer . Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Lead Data Analyst Santa Monica, California, United States / New York, New York, United States Sr Data Analyst New York, New York, United States / Santa Monica, California, United States Disability Accommodation for Employment Applications
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs . We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences.
#J-18808-Ljbffr