Unclassified - New York, NY

posted 21 days ago

Full-time - Mid Level
New York, NY
251-500 employees

About the position

The Senior Analytics Engineer will play a crucial role in transforming data into actionable insights that drive business decisions. This position involves collaborating with cross-functional teams to design and implement data models, develop analytics solutions, and ensure data quality and integrity. The ideal candidate will have a strong background in data engineering and analytics, with a focus on leveraging data to enhance operational efficiency and support strategic initiatives.

Responsibilities

  • Design and implement data models and analytics solutions to support business objectives.
  • Collaborate with cross-functional teams to understand data needs and provide insights.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Develop and maintain documentation for data models, processes, and analytics solutions.
  • Monitor and optimize data pipelines for performance and efficiency.

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in data engineering or analytics roles.
  • Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI.
  • Strong programming skills in Python or R for data analysis and modeling.
  • Experience with cloud platforms such as AWS or Azure.

Nice-to-haves

  • Familiarity with machine learning techniques and frameworks.
  • Experience with big data technologies such as Hadoop or Spark.
  • Knowledge of data governance and compliance best practices.

Benefits

  • Health insurance coverage
  • 401k retirement plan
  • Flexible scheduling options
  • Professional development opportunities
  • Paid holidays and vacation time
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service