Are you ready to take on a challenge that will exceed your expectations?
At Coinbase, we are driven by our mission to enhance economic freedom globally. This is a monumental and ambitious task that requires our best efforts as we develop the emerging onchain platform, shaping the future of the global financial system.
We are looking for a uniquely qualified candidate who is passionate about our mission and embraces the transformative power of crypto and blockchain technology. If you're eager to make a lasting impact in the world, thrive under pressure, are keen on receiving feedback for continuous improvement, and are excited about tackling the hardest challenges, we want to hear from you.
Our work environment is dynamic and may not suit everyone. However, if you wish to build the future alongside talented peers who excel in their fields and expect the same dedication from you, this is the perfect place for you.
While many roles at Coinbase are remote-first, we maintain a hybrid approach. In-person engagement is essential throughout the year, with multiple team and company-wide offsites designed to foster collaboration, connection, and alignment. Attendance at these events is expected and fully supported.
About the Team
The Finance Analytics team is the vital link between data engineering, data science, and business analytics. We develop scalable and impactful data solutions that equip Finance, Accounting/Controllership, and Treasury stakeholders to make informed, data-driven decisions. With profound expertise in accounting, business controllership, SOX compliance, and internal audit, we ensure that our data pipelines and certified financial datasets meet the stringent demands of a regulated financial environment.
This role is essential in supporting the data layer efforts behind these datasets and ensuring the controls and observability required for accuracy and reliability. Close collaboration with Finance, Accounting, Treasury, and Product Engineering is key to ensuring financial data is complete, reconciled, and ready for audits, thereby supporting crucial processes such as month-end closing, compliance, and large-scale reporting.
What You'll Be Doing:
- Become the Subject Matter Expert: Quickly develop deep knowledge in a specific business area and data domain while understanding data flows from creation to delivery.
- Drive New Initiatives: Collaborate with Engineering and Product partners to establish essential data pipelines and derive insights.
- Bridge Data Gaps: Communicate effectively with engineering teams to address data discrepancies and support downstream users.
- Take Charge: Proactively resolve issues across the entire data stack.
- Validate Data: Perform reconciliation-style checks across various data sources, identify discrepancies, and collaborate with upstream owners to rectify issues.
- Generate Business Value: Work with stakeholders from data and product teams to maximize commercial value from data.
- Develop Streamlined Data Models: Create curated data models that enhance ledger verification and accounting workflows to expedite finance operations.
- Suggest Improvements: Utilize a deep understanding of the reconciliation process and data expertise to recommend engineering optimizations that enhance performance and accuracy.
- Holistic Integration: Partner with PMs to integrate cross-product data into a unified framework, optimizing key metrics for financing products.
- Collaborate and Communicate: Work together with Finance/Accounting to transform requirements into enduring data models and engage with upstream teams to refine source data agreements.
- Outcome-Focused Approach: Leverage diverse frameworks to identify the best tools for delivering value.
- Innovate Scalable Workflows: Create new abstractions like UDFs, Python packages, and dashboards to bolster scalable data operations.
- Support Internal Development: Establish internal debugging frameworks to enable non-technical stakeholders to contribute quickly.
- Prioritize Quick Wins: Utilize established tools (e.g., Google Sheets, SQL) to swiftly generate meaningful impact.
- Enhance Financial Integrity: Implement robust data quality assurance measures and collaborate with stakeholders to define clear criteria for financial correctness.
What We Look For in You:
- Robust Understanding of Data Models: Strong grasp of best practices in designing reusable data models and curated datasets for analytics.
- Advanced SQL Proficiency: Expertise in SQL for data transformation and optimization.
- Automation and Scripting Skills: Proficiency in programming, particularly in Object-Oriented Programming (OOP).
- Translating Technical Value: Ability to communicate the business implications of technical concepts effectively.
- Strong Communication Skills: Excellent cross-functional collaboration capabilities, especially with Finance/Accounting.
- ETL/ELT Management Experience: Competence in building and optimizing data pipelines using