This is a 12-week internship during summer 2026.

The Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights with robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions.

Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes.

What you’ll be doing (ie. job duties):

• Model complex business data into digestible data products using data modeling best practices.
• Develop, refactor, and maintain key data pipelines, ensuring a high degree of code and data quality.
• Proactively solve problems for data developers (analytics engineering, data science) and data consumers (data science, product/reporting teams) by identifying and using best-fit tools.
• Employ cutting edge LLMs to streamline data development, modeling, and analytics.

What we look for in you (ie. job requirements):

• Experience developing data pipelines using Python.
• Experience building robust data transformations using SQL.
• Experience or coursework in data analytics and storytelling.
• An embodiment of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves:

• Experience or coursework in software engineering, data science, or other related quantitative field (e.g., physics, economics, math, etc.).
• Experience with ETL/ELT pipelines in an enterprise cloud platform (AWS, GCP).

Position ID: P73388