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

Remote · USA Full-time New today

At arenaflex, we're on a mission to revolutionize the way we consume and interact with entertainment content. As a leading player in the streaming 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 and Content Development team, and we're excited to offer a unique opportunity for a talented individual to make a meaningful impact.

About arenaflex

arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our streaming platform has disrupted the traditional entertainment landscape, offering users a vast library of content, including movies, TV shows, and original productions. We're committed to delivering exceptional user experiences, and our Data Analyst will play a critical role in helping us achieve this goal.

Job Summary

As a Data Analyst at arenaflex, you'll be responsible for applying advanced analytical techniques to drive business decisions and improve our content portfolio. You'll work closely with our content team to identify trends, patterns, and insights that will inform our content strategy and drive user engagement. If you're a data enthusiast with a passion for entertainment, this is an exciting opportunity to join a dynamic team and make a real impact.

Key Responsibilities

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

  • Analyze user behavior (e.g., viewing patterns, engagement metrics) to identify untapped user 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 improve user experience
  • Test marketing strategies to optimize 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, 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
  • Experience with machine learning algorithms, including decision trees, regression, clustering, and more
  • Proven ability to work independently and apply creativity to solve complex problems
  • Excellent 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

  • Opportunity to work with a leading entertainment company
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off
  • Flexible work arrangements, including remote work options

How to Apply

If you're a data enthusiast with a passion for entertainment, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to our application portal. We can't wait to hear from you!

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion. Apply for this job

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