Data Analyst and Labeller

Are you a former musician, with a keen interest in data? Are you looking for the right opportunity to grow your career - and your impact - with a hyper-growth tech company that's making a real difference in the world, then we have just the role for you.

We're Beatdapp, a startup delivering the most advanced streaming fraud and auditing technology for the music industry. Our industry-leading technology helps fight the $2 Billion stolen from artists and labels each year!

Loving music data is at the heart of our technology and our company. We work for the world's best music labels and artists all day!

Technical requirements for an analyst :

• Familiarity with music streaming platforms, their ecosystem, and common user behaviour
• The ability to query databases using SQL
• Proficient at analyzing large datasets using Python
• Strong analytical skills to identify patterns, trends, and anomalies in the data related to fraudulent activities
• Knowledge of data labeling and annotation tools to efficiently tag and categorize data for machine learning models
• Attention to detail and accuracy in data labeling to ensure high-quality input for machine learning models
• Good communication skills to collaborate effectively with data scientists, engineers, and product managers
• Time management skills to complete data labeling tasks within specified deadlines
• A willingness to continuously learn and adapt to new technologies, tools, and methodologies in the field of fraud detection and data labeling
• Ability to come into our office in Downtown Vancouver for 3 days a week

Nice to haves below

Perks

The expected salary range for this role is $60,000 - $75,000 CAD.