Coinbase: Analytics Engineer Intern — Hybrid - New York, NY
Coinbase lists a Analytics Engineer Intern opening in Hybrid - New York, NY. The job description covers Python, SQL, AI, stakeholder management.
Recruitment overview
| Organisation | Coinbase |
|---|---|
| Post / role | Analytics Engineer Intern |
| Department | Internships & Emerging Talent Positions |
| Employment type | Not specified |
| Notification / job ID | 8175471 |
| Job location | Hybrid - New York, NY |
| Work arrangement | Not specified |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | No numeric experience requirement extracted; read the employer notice |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Coinbase
Coinbase works on digital-asset and financial technology, with its recruitment material discussing an open financial system and crypto-related markets. Its advertised business activities connect consumer and business products with engineering, financial operations and regulated-market development. The company describes local product initiatives alongside the compliance, policy and operational work needed to support them. This gives the business both a technology dimension and a financial-services context, with product delivery linked to the requirements of the markets in which it operates.
The position and its setting
Coinbase lists Analytics Engineer Intern in Hybrid - New York, NY, under reference 8175471. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Internships & Emerging Talent Positions
- Employer listing date: 9 September 2026
Responsibilities and work described
- Building: and maintain dimensional data models that transform raw data into clean, reliable datasets used by analysts, data scientists, and product teams across the organization
- Development: 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
- Required Skills and
Essential requirements and candidate background
- 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
- Communicate technical concepts clearly to both technical and non-technical audiences, demonstrated through project presentations, dashboards, documentation, or collaborative work
- 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
- #LI-Hybrid
- 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
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com
- Need screen reading technology?
- Click here to download a free compatible screen reader and view the tutorial
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice
- US applicants: By submitting your application, you agree to Arbitration of Disputes
Preferred experience and additional strengths
- Familiarity: at least one programming language (Python preferred)
Location, schedule and contract conditions
For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.
- Advertised location: Hybrid - New York, NY
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Analytics Engineer Intern vacancy is not an offer for reference 8175471; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Coinbase
Applications follow the official employer page linked below.
Open the official Coinbase posting below and match the title and reference 8175471.
Compare your qualifications and experience with the essential conditions for the Hybrid - New York, NY position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- SQL
- AI/ML
- AI
- stakeholder management
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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