Senior Data Analyst - Subscriber Analytics (ESPN+ and Sports)

About The Role

The Disney Entertainment (DE) Subscriber Foundations team is responsible for the measurement and analysis of subscriber growth across the Disney Streaming portfolio, including Disney+, Hulu, ESPN+. We are seeking an analyst to support reporting focused on sports projects in the team. The remit of this role is to ensure seamless delivery of subscriber data and analysis to business partners across Disney Entertainment, Direct To Consumer (DTC), and The Walt Disney Company.

In collaboration with groups including Data Governance, Business Intelligence & Reporting, Business Operations, Data Engineering, and Finance, this role will establish strong operational and communication processes that enable Subscriber Analytics to support ESPN subscriber and churn reporting needs. The ideal candidate will have acute attention to detail, a strong sense of accountability, excellent collaboration skills, and extensive hands-on experience with reporting and communicating data, and will serve as a subject matter expert in understanding Sports content across a variety of streaming services, product offerings, and platforms.

Responsibilities

• Leverage subscriber data for strategic analysis for high-level executive audiences

• Own end-to-end processes and builds for operational reporting

• Communicate business requirements to technical teams, and provide concise summaries of technical progress and/or roadblocks to business stakeholders

• Understand and document data requirements related to existing executive reporting processes, including metrics, landing times, and impacted reporting systems

• Manage intake, processing, and handoff of files from internal teams to data engineering

• Develop strong knowledge of subscriber balances and the technical infrastructure that underlies executive subscriber reports

• Manage project planning and timelines and oversee cross-functional delivery to ensure reporting readiness for major business events

• Participate in weekly validations to ensure accuracy of data published in executive reports

• Develop and maintain documentation and resources that contextualize our complex subscriber data for business partners

• In coordination with Data Product and Data Quality Engineering, contribute to the design of resilient reporting solutions that minimize data incidents

Basic Qualifications

• Bachelor’s degree in business, economics, mathematics, statistics, computer science, or related field

• 5+ years experience in an analytical, technical, or business operations role

• 3+ years of SQL

• Experience communicating data and metrics to business leaders, with an ability to distill complex technical context into business-ready summaries

• Familiarity with data platforms and applications such as Snowflake, Databricks

• Familiarity with data exploration and data visualization tools such as Tableau, Looker

• Comfortable working in a fast-paced, highly iterative environment and navigating a matrixed organization structure

• Ability to manage multiple work streams with demonstrated ability to organize and schedule work effectively and deliver against deadlines

• Excellent written and verbal communication skills

Preferred Qualifications

• Love of sports!

• Experience in the streaming media industry or other subscription-based service

• Experience in the technology industry, knowledge of data products

• Experience working with project management tools such as Atlassian JIRA, Airtable, Asana

Additional Information

#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $114,900 to $154,100, and in New York, NY is $120,300 to $161,300 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.