Analytics Engineer Intern
- New York, United States
- Hybrid
- Internship
- Intern/New Grad
- Posted
Responsibilities
- Build and maintain dimensional data models that transform raw data into clean, reliable datasets used by analysts, data scientists, and product teams across the organization.
- Develop data pipelines using SQL, ensuring data quality, freshness, and documentation meet production standards.
- Partner with cross-functional stakeholders to understand their data needs and deliver well-structured datasets or dashboards that enable self-serve analytics.
- Leverage generative AI tools to streamline data development, modeling, and documentation workflows.
- Investigate and resolve data quality issues, implementing tests and monitors that catch problems before they reach downstream consumers.
Requirements
- Currently pursuing a degree in computer science, data science, statistics, economics, or a related quantitative field, or equivalent experience
- Demonstrated proficiency in SQL through coursework, projects, or prior internship experience, with the ability to write complex queries involving joins, window functions, and aggregations.
- Familiarity with at least one programming language (Python preferred)
- Ability to communicate technical concepts clearly to both technical and non-technical audiences, demonstrated through project presentations, dashboards, documentation, or collaborative work.
Required Skills and Experience
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- Req ID: P78159
Pay Transparency Notice
Depending on your work location, the target hourly rate for this position can range as detailed below.
Hourly Rate
- $50
- $50 USD
Application Limit
Candidates may submit a maximum of 3 applications within a 6-month period.
Equal Opportunity Employer
Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
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