Engagement Analytics Data Analyst – Streaming Insights

Disney Media & Entertainment Distribution; Santa Monica, New York (CA, NY); On-site; CAD 135,000 - 191,000; Full time

Job summary

Disney Media & Entertainment Distribution invites a Data Analyst to join the Subscriber Lifecycle & Commerce Analytics team. You will analyze engagement trends across Disney+, Hulu, and ESPN, build metrics, and partner with Content Planning, Partnerships, Programming, Product, and Marketing to guide decisions.

Responsibilities include data storytelling, cross-functional collaboration, and using SQL and visualization tools to deliver actionable insights that shape content strategy and

Qualifications

• Bachelor’s degree in a quantitative field.
• 3+ years of hands-on analytical work with SQL.
• Strong ability to translate data into actionable insights.
• Experience handling large data sets and cross-source interpretation.
• Familiarity with Tableau or Looker for visualization.
• Attention to detail and clear communication.

Responsibilities

• Support engagement trend analyses and ad hoc deep dives into drivers of key engagement KPIs.
• Uncover insights to optimize the content portfolio to drive quality engagement hours.
• Assist in developing new metrics and approaches to measure trends and audience behavior.
• Use SQL and visualization tools to synthesize data into actionable insights for technical and non-technical audiences.
• Communicate results through data storytelling in presentations and reports.
• Build relationships with business teams to understand data needs and requests.

Skills

SQL

Data analysis

Data visualization

Education

Bachelor’s degree in Analytics/CS/Statistics/Math

Tools

Tableau

Looker

Job description

Disney Media & Entertainment Distribution invites a Data Analyst to join the Subscriber Lifecycle & Commerce Analytics team. You will analyze engagement trends across Disney+, Hulu, and ESPN, build metrics, and partner with Content Planning, Partnerships, Programming, Product, and Marketing to guide decisions.

Responsibilities include data storytelling, cross-functional collaboration, and using SQL and visualization tools to deliver actionable insights that shape content strategy and