**Experienced Full Stack Data Analyst – Music Industry Insights and Analytics**

Join arenaflex, a world-renowned entertainment conglomerate, as a part-time Data Analyst in our Music Industry Insights and Analytics team. As a key member of our remote team, you will play a vital role in driving business decisions with data-driven insights, leveraging your analytical expertise to uncover hidden patterns and trends in the music industry. **About arenaflex** arenaflex is one of the world's largest and most iconic entertainment conglomerates, founded in 1923 by Walt Disney and Roy O. Disney. Our company has grown to encompass a vast array of businesses and brands in the fields of entertainment, media, and amusement parks. With a rich history of innovation and creativity, arenaflex continues to push the boundaries of what is possible in the entertainment industry. **Job Summary** As a Data Analyst in our Music Industry Insights and Analytics team, you will be responsible for analyzing large datasets to uncover insights that inform business decisions across various music industry sectors. You will work closely with cross-functional teams to identify opportunities for growth, optimize business processes, and drive revenue through data-driven recommendations. **Key Responsibilities** * Drive data-driven approaches to tackle complex business problems through data creation, analysis, and statistical modeling * Foster new features by integrating data across internal and external data sources * Develop and apply division, regression, and clustering models to determine insights * Contribute to key initiatives and new business opportunities by creating insightful models and frameworks to understand potential, execution drivers, and the impact of environmental factors * Support data-informed business processes by applying data mining, quantitative analysis, and data visualization to surface and highlight key topics, addressing business questions across various business areas * Extract and develop data for analysis, securing, organizing, scrubbing, and controlling intricate, large-scale data from various original sources using tools like PySpark and advanced SQL to interact with the data * Apply supervised or unsupervised learning methods, such as direct and calculated regression, decision trees, or k-means clustering to determine, validate, and measure findings from the data * Be the partner for cross-functional teams to identify opportunities and understand performance, diving into data to drive significant and meaningful insights * Contribute to organizational needs through continuous reporting and analysis to inform business, product, marketing, and sales decisions * Lead content performance and audience analysis for product releases, creating and tracking key metrics to measure success * Perform statistical analysis, such as KPI deep dives, behavior clustering, customer journey analysis * Develop logical pipelines for automated, adaptable, repeatable, and integrated analysis involving current large data models in data ecosystems, such as Databricks, Snowflake, Google BigQuery * Collaborate with Design and Product teams to execute on data projects * Contribute to product discovery, planning, building, and QA process, working together on data models, dataset construction/table, ETL/ELT data pipelines, and approval boundaries * Lead and mentor a colleague, defining boundaries to boost influence in the organization **Essential Qualifications** * 3+ years of experience in data analysis * 3+ years of management experience * Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or other related quantitative fields * Experience creating statistical models and analyses in an industry setting for business use cases, applied knowledge of supervised and unsupervised learning procedures * Skill controlling large, enterprise-level datasets and deciphering data patterns from multiple dissimilar data sources * Strong hands-on experience creating modern statistical models using pre-processing tools (Python/R) * Proficiency in advanced SQL, large-scale data, and mathematical computation languages (PySpark) * Experience in data mining in distributed systems (Databricks) * Proficient in data analysis and visualization tools (Tableau/Looker) * Experience creating logical programming that scales analyses * Experience working with media performance data * Experience working with data in media industries * Strong experience documenting data requirements, rules, and assumptions * Experience communicating statistical ideas to diverse audiences * Passion for building clear, concise, and meaningful metrics * Demonstrated history of using data to convey business value and presenting data-driven insights to business audiences * Experience influencing and collaborating with partners across the organization * Strong time management skills with the ability to work in a high-speed environment across multiple priorities * Strong attention to detail without neglecting broader objectives * History of working independently, exhibiting creativity, and delivering results * Distinct interest in music and the music industry * Strong experience with music streaming features (Spotify, Apple, Amazon Music, YouTube), social media platforms (TikTok, FB/Instagram), and emerging technologies (digital assistants/voice) **Preferred Qualifications** * Experience driving data-driven projects across a wide cross-functional landscape * Experience assembling, managing, and persuading teams in core support capabilities * Graduate degree in a quantitative field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or other related quantitative fields **Work Environment and Culture** As a member of our remote team, you will have the opportunity to work in a dynamic and innovative environment that values creativity, collaboration, and continuous learning. Our company culture is built on a foundation of respect, empathy, and open communication, with a focus on fostering a positive and inclusive work environment. **Compensation and Benefits** arenaflex offers a competitive salary and benefits package, including: * $18/hour salary * Comprehensive health and wellness benefits * 401(k) retirement plan with employer matching contributions * Paid time off, including vacation days, holidays, and sick leave * Opportunities for professional growth and development * Recognition and rewards for outstanding performance and contributions **How to Apply** If you are a motivated and detail-oriented individual with a passion for data analysis and the music industry, 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. Apply for this job