Analytics Engineer Intern, Coinbase

• 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

Desirable

• 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
• 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