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Experienced Data Analyst for Disney Streaming - Remote Opportunity with Competitive Compensation

Remote role Full-time Open position

Unlock Your Potential as a Data Analyst at Disney Streaming

Join the esteemed team at Disney Streaming, a leading force in the entertainment industry, as a Data Analyst and be part of a dynamic group that drives business decisions through data-driven insights. As a fully remote role, you'll have the flexibility to work from anywhere, collaborating with a talented team of professionals who share your passion for innovation and excellence.

About the Role

We're seeking a skilled Data Analyst to join our Advanced Analytics and Content team, where you'll apply your analytical expertise to enhance our content portfolio, marketing strategies, and delivery systems. As a key member of our team, you'll be responsible for analyzing complex data sets, identifying trends, and developing actionable insights that inform business decisions.

Key Responsibilities

  • Apply advanced analytics techniques (data mining, data visualization, statistical analysis, machine learning) to large-scale, high-dimensional data to drive business decisions
  • Analyze customer behavior (e.g., genre preferences, viewing patterns) to identify unmet customer needs and untapped content opportunities
  • Predict content engagement to inform acquisition decisions
  • Optimize our content launch and episode release strategy
  • Test marketing strategies to improve engagement and retention
  • Develop new metrics and KPIs to measure content performance for both tactical and strategic guidance
  • Provide ad-hoc analytics support to stakeholders to drive business forward
  • Effectively communicate insights through compelling data storytelling across the organization

Essential Qualifications

To succeed in this role, you'll need:

  • A Bachelor's degree in Math, Statistics, Operations Research, Computer Science, or a related field
  • At least 3 years of experience in Data Analysis
  • Proficiency in SQL and experience with R and/or Python
  • Experience with statistical analysis and machine learning techniques (decision trees, regression, clustering, etc.)
  • Demonstrated ability to work independently and apply creativity in solving complex problems
  • Excellent data storytelling skills through verbal, written, and visual communication

Preferred Qualifications

To take your application to the next level, consider:

  • A graduate degree in Data Science, Math, Statistics, Operations Research, Computer Science, or a related field
  • A passion for Media and Entertainment

What We Offer

As a Disney Streaming team member, you'll enjoy:

  • A competitive salary starting at $28/hour
  • A fully remote work arrangement, offering flexibility and work-life balance
  • Opportunities for career growth and professional development
  • A dynamic and collaborative work environment with a talented team
  • A culture that values innovation, creativity, and data-driven decision-making

Why Join Disney Streaming?

As a leader in the entertainment industry, Disney Streaming offers a unique opportunity to be part of a team that is shaping the future of media and entertainment. With a rich history of innovation and a commitment to excellence, we're dedicated to creating a work environment that is inclusive, collaborative, and empowering.

By joining our team, you'll have the chance to work on complex and challenging projects, develop your skills and expertise, and make a meaningful impact on the business. Our remote work arrangement provides the flexibility to work from anywhere, and our competitive compensation package reflects our commitment to attracting and retaining top talent.

Ready to Take the Next Step?

If you're a motivated and talented Data Analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. With your skills and experience, you'll be well-positioned to drive business success and advance your career with Disney Streaming.

Don't miss this chance to join a talented team and make a significant impact. Apply now and take the first step towards a rewarding new role!

Apply for this job

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