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Experienced Full Stack Data Analyst – High-Level Investigation, Content Development at arenaflex

Work from home Full-time role Hiring

At arenaflex, we're on a mission to revolutionize the way we consume and interact with entertainment content. As a leading player in the industry, we're constantly pushing the boundaries of innovation and excellence. We're now seeking an exceptional Data Analyst to join our High-Level Investigation, Content Development team, and contribute to the success of our Disney Streaming Information and Examination association.

About arenaflex

arenaflex is a dynamic and forward-thinking organization that's passionate about creating immersive experiences for our audiences. With a rich history of innovation and a commitment to excellence, we're constantly seeking talented individuals who share our vision and values. Our company culture is built on collaboration, creativity, and a passion for learning, making us an ideal workplace for professionals who thrive in a fast-paced and dynamic environment.

Job Summary

As a Data Analyst at arenaflex, you'll play a critical role in driving business decisions through data-driven insights. You'll work closely with our content development team to analyze large-scale, high-dimensional data, identify trends and patterns, and develop actionable recommendations to inform our content strategy. If you're a detail-oriented, analytical thinker with a passion for data storytelling, we want to hear from you!

Key Responsibilities

* Apply advanced data analysis procedures (data mining, data visualization, statistical analysis, AI) on large-scale, high-dimensional data to inform business decisions

  • Analyze customer behavior (e.g., viewing patterns, engagement metrics) to identify untapped customer needs and untapped content opportunities
  • Develop predictive models to forecast content engagement and inform procurement decisions
  • Streamline our content release and episode release process to optimize engagement and retention
  • Test marketing strategies to enhance engagement and retention
  • Ideate and develop new metrics and KPIs to measure content performance for both strategic and tactical navigation
  • Provide ad-hoc analysis support to partners to drive business growth
  • Effectively communicate significant findings through compelling data storytelling across the organization

Essential Qualifications

* Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, or a related field

  • At least 2 years of experience in data analysis, with a focus on statistical analysis and AI methods
  • Proficiency in SQL and experience with R and Python programming languages
  • Experience with machine learning algorithms, including decision trees, regression, clustering, and more
  • Proven ability to work independently and apply creativity in solving complex problems
  • Exceptional data storytelling skills through verbal, written, and visual communication

Preferred Qualifications

* Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field

  • Experience with data visualization tools, such as Tableau or Power BI
  • Familiarity with cloud-based data platforms, such as AWS or Google Cloud
  • Passion for media and entertainment

What We Offer

* Competitive salary of $22/hour

  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off
  • Opportunities for professional growth and development, including training and mentorship programs
  • Collaborative and dynamic work environment with a passionate team of professionals
  • Flexible work arrangements, including remote work options
  • Access to cutting-edge technology and tools to support your work

How to Apply

If you're a motivated and analytical professional with a passion for data storytelling, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply Now! Apply for this job

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