Company Overview:
At Chartmetric, we pride ourselves on being at the forefront of data analytics in the dynamic music industry. Our platform empowers music professionals with actionable insights, helping them make data-driven decisions to propel artists, labels, and the music ecosystem forward. We are seeking an enthusiastic and insightful entry-level Data Analyst to join our passionate data team. As a music lover with proficiency in Python, SQL (Snowflake and Postgres RDS), data visualization tools like Looker and Tableau, and a solid foundation in statistics, you will play a vital role in uncovering valuable music trends and unlocking the potential of music data.
Responsibilities:
- Unlocking Music Insights: Collaborate with cross-functional teams to deeply understand the nuances of the music industry. Utilize your analytical acumen to process and analyze vast music datasets, revealing hidden trends, audience preferences, and artist performance metrics.
- Harmonizing Data: Employ your SQL expertise to harmoniously blend data from diverse sources, including Snowflake and Postgres RDS databases, to create a cohesive and comprehensive view of the music landscape.
- Python Composition: Compose Python scripts and algorithms to efficiently clean, transform, and derive insights from complex music datasets, automating repetitive tasks for a more harmonious data processing workflow.
- Visualizing the Rhythm of Music Data: Conduct creative data visualization using Looker and Tableau to craft engaging and interactive dashboards that amplify music insights. Help music professionals visualize patterns, allowing them to fine-tune their strategies.
- Finding the Melody in Numbers: Apply statistical methods and techniques to decipher the melodic patterns in music data, identifying correlations, conducting hypothesis testing, and providing robust recommendations for our music industry partners.
Qualifications:
- Passion for Music: Your love for music and understanding of music trends and industry dynamics will inspire you to extract meaningful insights from music data.
- Technical Ensemble:
- Proficiency in Python programming for data manipulation and analysis.
- Strong SQL knowledge with experience in Snowflake and Postgres RDS databases.
- Familiarity with data visualization tools such as Looker and Tableau.
- A solid foundation in statistical concepts and methods.
- Analytical Symphony: Your keen eye for detail and critical thinking skills will drive the exploration of music data, unearthing valuable patterns.
Compose your resume and a captivating cover letter, showcasing your passion for music, data-driven insights, and the impact you can make as a Data Analyst at Chartmetric. We look forward to hearing your music story!
Chartmetric focuses on Music, Analytics, and Big Data. Their company has offices in New York City and San Francisco Bay Area. They have a small team that's between 11-50 employees. To date, Chartmetric has raised $1.1M of funding; their latest round was closed on January 2019.
You can view their website at http://www.chartmetric.com or find them on Twitter, Facebook