Mid-Level Systems Analyst - Analytics Engineer

Data
Mid-Level Software Engineer
Remote
Finance

Description For Mid-Level Systems Analyst - Analytics Engineer

BV is seeking a Mid-Level Analytics Engineer to join their Data Hub Engineering Chapter and Data Products team. This role is specifically designed as an affirmative action position for Black and Brown professionals. The position offers a unique opportunity to work with cutting-edge data technologies and contribute to the company's data infrastructure. As an Analytics Engineer, you'll be responsible for developing and maintaining data pipelines, creating data models, and ensuring data quality and governance. You'll work closely with Data Science, BI, and Data Engineering teams, making this an excellent opportunity for someone looking to grow in the data engineering field. The role combines technical expertise with collaborative work, requiring both strong technical skills in Python, SQL, and cloud platforms, as well as the ability to work effectively with various business units. The position offers remote work flexibility and the chance to be part of a company that values diversity and technical excellence.

Last updated 5 days ago

Responsibilities For Mid-Level Systems Analyst - Analytics Engineer

  • Work with the Analytics Engineering Chapter team promoting a culture of excellence and knowledge sharing
  • Develop and maintain scalable and efficient data pipelines, ensuring data availability, quality, and integrity
  • Create and optimize data models
  • Ensure the application of data governance best practices, code versioning, and tool usage
  • Work in partnership with Data Science, BI, Data Engineering teams and different business areas
  • Promote process standardization
  • Conduct data maturity diagnostics in business areas and define evolution strategies according to specific needs
  • Create and maintain technical documentation, best practice manuals, and tool usage guides

Requirements For Mid-Level Systems Analyst - Analytics Engineer

Python
  • Strong experience in Python, SQL and ETL/ELT tools (e.g., dbt, Airflow)
  • Experience with cloud data platforms (e.g., AWS, Azure, GCP)
  • Experience with code versioning (Git) and agile methodologies
  • Experience in managing technical teams is a plus, as well as knowledge in Data Catalog and Agile Methodologies

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