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

Remote, USA Full-time Posted 2025-11-24
At arenaflex, we're on a mission to revolutionize the way we consume and interact with entertainment content. As a leading player in the private sector, 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, working remotely from the comfort of your own home in Santa Monica, USA. **About arenaflex** arenaflex is a dynamic and forward-thinking organization that's passionate about creating engaging experiences for our audience. With a rich history of innovation and a commitment to excellence, we're always looking for talented individuals who share our vision and values. Our team is dedicated to applying scientific rigor to improve our content portfolio, promotion, and distribution systems. If you're a data enthusiast who thrives in a fast-paced environment and is passionate about TV and film content, then this is the perfect opportunity for you. **Job Summary** As a Data Analyst at arenaflex, you'll play a critical role in driving business decisions by applying advanced analytical techniques to large-scale, high-dimensional data. You'll work closely with our content team to identify untapped client needs and undiscovered content opportunities, and develop innovative solutions to drive engagement and retention. If you're a detail-oriented, creative problem-solver with a passion for data storytelling, then we want to hear from you. **Key Responsibilities** * Apply advanced analytical techniques (data mining, data visualization, statistical analysis, AI) to large-scale, high-dimensional data to inform business decisions * Analyze client behavior (e.g., viewing patterns, engagement metrics) to identify neglected client needs and undiscovered content opportunities * Develop predictive models to forecast content engagement and inform procurement decisions * Streamline our content launch and episode release process to optimize engagement and retention * Test and optimize marketing strategies to improve 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 results 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 strong background in statistical analysis and AI methods * Proficiency in SQL and experience with R and Python programming languages * Experience with machine learning algorithms and techniques, including decision trees, regression, clustering, etc. * 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 * Passion for media and entertainment * Experience with data visualization tools, such as Tableau or Power BI * Familiarity with cloud-based data platforms, such as AWS or Google Cloud **What We Offer** * Competitive salary of $22/hour * Opportunity to work with a dynamic and innovative team * Flexible remote work arrangement * Comprehensive benefits package, including health, dental, and vision insurance * Professional development opportunities to enhance your skills and career growth * Collaborative and inclusive work environment **How to Apply** If you're a motivated and detail-oriented individual with a passion for data analysis and storytelling, then we want to hear from you. Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you and explore how you can contribute to our team's success! Apply for this job    

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