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Beatdapp Data Analyst and Labeller Position

2 months ago

Vancouver, British Columbia, Canada Beatdapp Full time

We're seeking a skilled Data Analyst and Labeller to join our team at Beatdapp, a pioneering music streaming fraud and auditing technology company. As a key member of our team, you'll be working closely with data scientists, engineers, and product managers to identify and analyze patterns, trends, and anomalies in music streaming data.

Key Responsibilities:
  • Query databases using SQL to extract relevant data
  • Analyze large datasets using Python to identify fraudulent activities
  • Label and categorize data for machine learning models using data labeling tools
  • Collaborate with the team to develop and implement effective data analysis and labeling strategies
Requirements:
  • Familiarity with music streaming platforms and common user behavior
  • Proficient in SQL and Python with experience in data analysis and labeling
  • Strong analytical skills and attention to detail
  • Good communication and collaboration skills
  • Ability to work in a fast-paced environment and adapt to new technologies and methodologies
Nice to Have:
  • Experience working with large datasets and data preparation, cleaning, and transformation
  • Understanding of basic statistical methods and fraud detection techniques
Perks:
  • Opportunity to work on challenging problems with a talented team
  • Flexible work environment and frequent company events