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! Apply for this job