Remote Data Analyst - $22/Hour

Remote Full-time
We are seeking a highly skilled and motivated Data Analyst to join our team at Disney Streaming. As a Data Analyst, you will play a key role in driving business decisions by applying advanced analytical techniques to large-scale, complex data sets. This is a fantastic opportunity to work remotely and enjoy the freedom and flexibility that comes with it.
About the Role:
The Disney Streaming Information and Examination association is looking for a Data Expert who will be an excellent addition to our High-Level Investigation, Content team. As a Data Analyst, you will join our content team that applies scientific rigor to optimize our content portfolio, marketing, and release strategy.
Responsibilities:

Apply advanced analytical techniques (data mining, data visualization, statistical analysis, machine learning) to drive business decisions
Analyze customer behavior to identify unmet customer needs and undiscovered content opportunities
Predict content engagement to inform acquisition decisions
Optimize content launch and episode release strategy
Test marketing strategies to enhance engagement and retention
Develop new metrics and KPIs to measure content performance
Provide ad-hoc analytical support to stakeholders
Effectively communicate insights through compelling data storytelling

Requirements:

Bachelor's degree in Math, Statistics, Operations Research, Computer Science, or equivalent
At least 2 years of Data Analysis experience
Proficiency in SQL and experience with R and/or Python
Experience with statistical analysis and machine learning methods
Proven ability to work independently and apply creativity in solving complex problems
Excellent data storytelling skills

Nice to Have:

Master's degree in Data Science, Math, Statistics, Operations Research, Computer Science, or equivalent
A passion for Media and Entertainment

What We Offer:

Competitive salary: $22/hour
Full-time employment
8-hour workday
Remote work arrangement

How to Apply:
If you are a motivated and skilled Data Analyst looking for a new challenge, please apply now. We look forward to hearing from you!
Apply Now

Apply Now

Apply Now

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