**Experienced Full Stack Data Analyst – Music and Media Insights**

At arenaflex, we're on a mission to revolutionize the way we understand and engage with music and media. As a key member of our Information and Investigation team, you'll play a vital role in shaping our data-driven strategies and informing business decisions across the arenaflex Music Group business units.

• *About arenaflex**

arenaflex is one of the world's largest and most iconic entertainment conglomerates, with a rich history dating back to 1923. Our company has grown to encompass a vast array of businesses and brands in the fields of entertainment, media, and amusement parks. From Disney to Pixar, Marvel Studios, Lucasfilm, and Disney TV Animation, we're a leader in creating immersive experiences that captivate audiences worldwide.

• *Job Summary**

We're seeking an experienced Full Stack Data Analyst to join our team on a part-time remote basis. As a key member of our Information and Investigation team, you'll be responsible for analyzing and interpreting large-scale datasets to inform business decisions and drive growth across the arenaflex Music Group business units. If you're passionate about music, data, and storytelling, we'd love to hear from you!

• *Key Responsibilities**

• Gain, organize, clean, and control modern, large-scale, high-layered data from various original sources using tools like PySpark and advanced SQL.
• Build automated, adaptable, repeatable, and integrated analysis involving current large data formats in data ecosystems, such as Databricks, Snowflake, and Google BigQuery.
• Apply refined analysis techniques (data mining, statistical analysis, AI) to identify patterns and reveal opportunities in social data.
• Lead campaign, product, satisfied, and audience analysis for organizational needs. Create and track key metrics to measure success.
• Collaborate with Designing and Product groups to complete data projects, contributing to product discovery, design, build, and QA.

• *Essential Qualifications**

• 2 years of analytical experience or equivalent blend of education and experience
• Bachelor's degree in a quantitative field, including Mathematics, Statistics, Physics, Computer Science, Engineering, or other related quantitative fields.
• Familiarity with directed and self-directed learning methods
• Proficient in using pre-processing tools like PySpark/Python/R and SQL.
• Familiarity with data analysis and visualization tools.
• Strong time management skills with ability to work in a fast-paced environment across multiple priorities.

• *Preferred Qualifications**

• Experience in applying supervised and unsupervised learning methods, such as direct and calculated regression, decision trees, or k-means clustering to determine, validate, and measure outcomes from the data.
• Experience reporting data requirements, rules, and assumptions
• Experience data mining in distributed systems like Databricks/Google BigQuery/Snowflake.
• Experience controlling large, transaction-level datasets and deciphering data patterns from different dissimilar data sources
• An interest in music or potentially media industry data!
• Knowledge of music real-time features (Spotify, Apple, Amazon Music, YouTube), social media platforms (TikTok, FB/Instagram) and new innovations (digital assistants/voice).
• Graduate degree in a quantitative field, including Mathematics, Statistics, Physics, Computer Science, Engineering, or other related quantitative fields.

• *About Working at arenaflex**

arenaflex is a leader in the entertainment industry, with a rich history and a commitment to innovation and creativity. As a member of our team, you'll have the opportunity to work on exciting projects, collaborate with talented colleagues, and contribute to the development of new ideas and technologies.

• *Benefits of Working at arenaflex**

• Competitive salary and benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance
• Comprehensive health and wellness programs
• Flexible work arrangements and remote work options
• Opportunities for professional growth and development

• *How to Apply**

If you're passionate about data, music, and storytelling, and you're looking for a challenging and rewarding role, we'd love to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!