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Experienced Full Stack Data Analyst – Web & Cloud Application Development for Disney Streaming Information and Examination Association

100% Remote Full-time Open now

About the Role

We are seeking an exceptional Data Analyst to join our high-level investigation, content group at the Disney Streaming Information and Examination association. As a Data Analyst, you will be an integral part of our team that applies scientific rigor to enhance our content portfolio, promotion, and release system. If you are a detail-oriented individual with a passion for data-driven insights and a love for TV and film content, this is an exciting opportunity for you to join our dynamic team.

About the Company

The Walt Disney Organization, commonly known as Disney, is one of the world's largest and most renowned entertainment conglomerates. Founded in 1923 by Walt Disney and Roy O. Disney, the company has grown to encompass numerous organizations and brands in the fields of entertainment, media, and amusement parks. As a leader in the industry, Disney is committed to innovation, creativity, and excellence in all aspects of its business.

Key Responsibilities

As a Data Analyst at Disney, you will be responsible for:
  • Applying advanced analytical procedures (data mining, data visualization, statistical analysis, AI) on large-scale, high-dimensional data to inform business decisions.
  • Analyzing customer behavior (e.g., viewing preferences, consumption patterns) to identify untapped customer needs and undiscovered content opportunities.
  • Forecasting content engagement to inform procurement decisions.
  • Streamlining our content release and episode discharge methodology.
  • Testing marketing strategies to optimize engagement and retention.
  • Ideating and developing new metrics and KPIs to measure content performance for both strategic and tactical navigation.
  • Providing ad-hoc analytical support to partners to drive business growth.
  • Effectively communicating significant results through compelling data storytelling across the organization.

Requirements

To be successful in this role, you will need:
  • A Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
  • At least 2 years of experience in data analysis, with a strong background in statistical analysis and AI methods.
  • Proficiency in SQL and experience in R and Python programming languages.
  • Experience in data visualization tools such as Tableau, Power BI, or D3.js.
  • Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to both technical and non-technical stakeholders.
  • Strong problem-solving skills, with the ability to work independently and apply creativity to tackle complex problems.

Preferred Qualifications

While not required, the following qualifications would be advantageous:
  • A Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
  • Experience working with large-scale data sets and distributed computing environments.
  • Knowledge of machine learning algorithms and techniques.
  • Experience with data warehousing and business intelligence tools.
  • A passion for media and entertainment, with a strong understanding of the industry and its trends.

About Working at Disney

As a Disney employee, you will have access to a range of benefits and advantages, including:
  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • A dynamic and collaborative work environment.
  • Access to cutting-edge technology and tools.
  • A comprehensive training program to support your success.
  • A range of employee recognition and reward programs.
  • Opportunities to work on high-profile projects and collaborate with industry leaders.

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis and a love for TV and film content, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We look forward to hearing from you! Apply Job! Apply for this job

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