Analytics Engineer
WFA Digital Insight
The demand for skilled analytics engineers has grown significantly, with a 25% increase in job postings over the past year. As companies like Coinbase expand internationally, the need for experts who can navigate complex regulatory landscapes has never been greater. With the rise of crypto and blockchain, this role offers a unique opportunity to work at the forefront of a rapidly evolving industry. Before applying, candidates should be aware that Coinbase's work culture is intense and demands high-caliber performance. With the right skills and mindset, however, this role can be a launching pad for a successful and rewarding career.
Job Description
About the Role
The Analytics Engineering team at Coinbase plays a critical role in building and maintaining trusted data infrastructure across the organization. As an Analytics Engineer, you will focus on developing reliable, well-governed data foundations for compliance and regulatory reporting across Coinbase's international entities. Your mission will be to build a platform that enables compliance stakeholders to answer regulatory questions independently with confidence and accuracy.The role requires a deep understanding of regulatory data requirements and the ability to design and build data models that serve as the foundation for regulatory reporting. You will work closely with compliance stakeholders to translate regulatory requirements into durable, machine-readable formats and implement reconciliation against prior submissions.
The Analytics Engineering team is at the forefront of Coinbase's efforts to build a scalable and automated platform for regulatory reporting. As the company continues to grow and expand internationally, the need for skilled analytics engineers has never been greater.
What You Will Do
- Design and build data models that serve as the foundation for regulatory reporting, with the entity-level granularity and definitions regulators require
- Build and maintain data quality checks, monitoring, and data contracts; implement reconciliation against prior submissions
- Write specs and definitions that AI tools use to generate pipelines and answer regulatory questions accurately
- Standardize regulatory metric definitions, entity-specific nuances, and historical reporting decisions into durable, machine-readable formats
- Partner with Compliance, Legal, and Business Operations to translate regulatory requirements into action
- Develop deep expertise in the regulatory data landscape and stay up-to-date with changing regulatory requirements
- Collaborate with cross-functional teams to identify and prioritize data needs
- Develop and maintain documentation of data models, data quality checks, and other relevant processes
- Participate in company-wide offsites to foster collaboration, connection, and alignment
What We Are Looking For
- 3+ years of experience in analytics engineering or a related field
- Strong proficiency in Excel and data modeling
- Experience with data quality checks, monitoring, and data contracts
- Ability to write specs and definitions for AI tools
- Strong understanding of regulatory requirements and data landscapes
- Experience working with compliance stakeholders to translate regulatory requirements into action
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced and rapidly changing environment
Nice to Have
- Experience with AI-driven workflows and automation
- Familiarity with blockchain and crypto technology
- Experience working in a remote-first company
- Strong understanding of data governance and compliance
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health benefits
- Flexible PTO and remote work arrangements
- Professional development opportunities
- Access to cutting-edge technology and tools
- Opportunity to work with a talented and dedicated team
- Chance to make a meaningful impact on the future of finance and technology
How to Stand Out
- Familiarize yourself with Coinbase's mission and values to understand the company culture and expectations
- Develop a strong understanding of regulatory requirements and data landscapes to stand out as a candidate
- Highlight your experience with data quality checks, monitoring, and data contracts in your application
- Be prepared to discuss your experience with AI-driven workflows and automation during the interview process
- Show enthusiasm for working in a fast-paced and rapidly changing environment, and highlight your ability to adapt to new challenges
- Don't be afraid to ask about the company's approach to data governance and compliance during the interview process
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