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Disney Entertainment & ESPN Technology Logo

Data Analyst

Disney Entertainment & ESPN Technology

$102,100 - $136,900
Dec 15, 2025
Seattle, WA, USA
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Disney Entertainment and ESPN Product & Technology is looking to solve the problem of managing and optimizing its internal operations, including cost and resource allocation, project management, and data analysis.

Requirements

  • 3+ years of experience in informatics, data analytics, data engineering or technical fields
  • Experience working with Smartsheet, Airtable, SQL queries and Tableau
  • Experience compiling data and building reports/dashboards with BI visualization tools
  • Possess solid computer skills with proficiency in Microsoft Office and Google Suite
  • Exhibit advanced Excel / Google Sheets knowledge including complex formulas
  • Experience working with JIRA and Snowflake (SQL)
  • Familiarity with data modeling and predictive analytics

Responsibilities

  • Build a deep understanding of costing and resourcing data related to our internal teams and functional partners
  • Support internal business workflows, such as service costing, workforce management, and resource planning
  • Track and report on key performance metrics
  • Perform data and compliance audits on a variety of areas such as standardization and timely reporting to ensure consistency and accuracy
  • System admin and support responsibilities for planning tools that are managed by the team
  • Conduct training on planning tools to enable other team members to become informed and self-proficient
  • Assist in defining, establishing, and implementing enhancements to operational processes, procedural documentation, and tool requirements

Other

  • Strong written and verbal skills and the ability to communicate effectively across multiple levels of the organization
  • Must be a team player who is motivated, disciplined, flexible, and able to work effectively in collaborative and autonomous environments
  • Exhibit critical thinking, problem-solving, and analytical capabilities with strong attention to detail
  • Bachelor's degree in technical field- Data Science, Statistics, Business Finance/Economics, Informatics, Computer Science
  • Ability to work and adapt to a fast-paced dynamic environment with consistent change