Senior Business Analyst

16 hours ago


Brooklyn, New York, United States VTS3 Full time
Senior Data Analyst Job Description

As a Senior Data Analyst at VTS3, you will play a critical role in designing, analyzing, and optimizing data systems that power diagnostic and predictive insights. This hourly position offers a salary range of $90-$125 per hour, depending on experience, with opportunities for overtime. The location is Brooklyn, NY (Hybrid – Bi-weekly office attendance).

Key Responsibilities
  • Data System Development and Management
    • Design and maintain robust data systems and databases, identifying and resolving data-related issues.
    • Mine, clean, and reorganize data from primary and secondary sources to make it accessible for analysis by humans and machines.
  • Data Analysis and Visualization
    • Use statistical tools to interpret complex data sets, focusing on trends and patterns for predictive and diagnostic analytics.
    • Build dashboards, create data visualizations, and perform root cause analysis to ensure seamless functionality.
  • Machine Learning and Advanced Analytics
    • Design, train, and implement machine learning algorithms, including large language models and natural language processing (NLP).
    • Develop and maintain machine learning pipelines, leveraging MLOps for efficient deployment and scaling.
    • Perform A/B testing and apply predictive models to optimize customer experiences and operational efficiency.
Requirements
  • Bachelor's degree in data science, analytics, computer science, or a related field.
  • Proficiency in programming languages: SQL, Python, and PySpark.
  • Strong experience with data visualization tools like Power BI, including DAX queries.
  • Expertise in machine learning operations (MLOps), natural language processing (NLP), and large language models.
  • Advanced knowledge of statistical modeling, data mining, and predictive analytics.
  • Working knowledge of designing, training, and implementing machine learning models.
  • Familiarity with cloud-based infrastructure and big data analytics tools.
  • Minimum of 7 years of experience in data science and machine learning engineering.
  • Advanced SQL proficiency.
  • Full-stack Python programming, including PySpark.
  • Power BI dashboards and advanced visualization techniques.
  • Machine learning concepts and MLOps.
Preferred Skills
  • Master's degree or Ph.D. in a quantitative field (e.g., statistics, computer science, mathematics, or engineering).
  • Azure Databricks Data Engineer Certification.
  • Experience with big data technologies like Spark and Hadoop.


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