Analytics Engineer Internship

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Requirements:

• Currently pursuing graduate or undergraduate degree, ideally in a technical or quantitative field.
• Ability and desire to develop technical skills to work with large data sets using SQL, Python, or R.
• Comfortable using SQL for data transformations.
• Ability to communicate clearly about data to both technical and non-technical audiences.
• Detail-oriented, organized, and a team player.
• Passion for structure and efficiency, with attention to naming conventions and coding style.

Responsibilities:

• Write complex, production-quality data transformation code to meet the needs of analysts, data scientists, and business stakeholders.
• Implement effective data tests to ensure the accuracy and reliability of data and ELT pipelines.
• Assist in coaching analysts on data modeling, SQL query structure and optimization, and software engineering best practices.
• Collaborate with data engineers on implementing new systems/tools/processes and ingesting and modeling data from new sources.
• Troubleshoot and resolve data issues as they arise.
• Ensure thorough documentation of data, systems, business logic, and metrics.
• Maintain the quality of the analytics codebase by managing old code and addressing tech debt.