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!