**Experienced Full Stack Data Analyst – Web & Cloud Application Development at arenaflex**
Join arenaflex, a leading entertainment and media conglomerate, in its mission to revolutionize the way people experience entertainment. We are seeking an experienced Full Stack Data Analyst to join our high-level investigation, content group. As a Data Analyst, you will be an integral part of our team that applies scientific rigor to improve our content portfolio, promotion, and release system. **About arenaflex** arenaflex is one of the world's largest and most renowned entertainment conglomerates. Founded in 1923 by Walt Disney and Roy O. Disney, the company has grown to encompass a multitude of organizations and brands in the fields of entertainment, media, and amusement parks. arenaflex is a central player in the media industry, creating films, TV programs, and streaming content through various subsidiaries like Walt Disney Pictures, Pixar, Marvel Studios, Lucasfilm, and Disney TV Animation. **Job Summary** We are seeking an experienced Full Stack Data Analyst to join our team. As a Data Analyst, you will apply advanced analytical procedures (data mining, data visualization, statistical analysis, AI) on large-scale, high-dimensional data to drive business decisions. You will also analyze client behavior (e.g., viewing patterns, engagement metrics) to identify untapped client needs and undiscovered content opportunities. **Key Responsibilities** * Apply advanced analytical procedures (data mining, data visualization, statistical analysis, AI) on large-scale, high-dimensional data to drive business decisions * Analyze client behavior (e.g., viewing patterns, engagement metrics) to identify untapped client needs and undiscovered content opportunities * Anticipate content engagement to inform procurement decisions * Streamline our content release and episode discharge methodology * Test marketing strategies to enhance engagement and retention * Ideate and develop new metrics and KPIs, measuring content performance for both strategic and tactical navigation * Provide impromptu analytical support to partners to drive business forward * Successfully communicate significant results 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 * Proficiency in SQL and experience in R as well as Python * Experience in statistical analysis and AI methods: decision trees, regression, clustering, etc. * Demonstrated ability to work independently and apply creativity in solving complex problems * Exceptional data storytelling abilities through verbal, written, and visual communication **Preferred Qualifications** * Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field * An interest in Media and Entertainment **About Working at arenaflex** arenaflex is a world-renowned entertainment conglomerate that offers a unique and exciting work environment. Our company culture is built on innovation, creativity, and collaboration. As a Data Analyst at arenaflex, you will have the opportunity to work on high-profile projects, collaborate with talented professionals, and contribute to the company's mission to revolutionize the entertainment industry. **Benefits of Working at arenaflex** * Competitive salary and benefits package * Opportunities for career growth and professional development * Collaborative and innovative work environment * Access to cutting-edge technology and tools * Recognition and rewards for outstanding performance * Comprehensive health and wellness programs * Flexible work arrangements and work-life balance * Opportunities to work on high-profile projects and contribute to the company's mission **How to Apply** If you are a motivated and experienced Data Analyst looking for a new challenge, we encourage you to apply for this exciting role. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply for this job