Senior Analytics Engineer (Platform - Financial Analytics)

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, Coinbase is seeking a candidate passionate about crypto and blockchain, eager to solve hard problems, and comfortable working in an intense, high-performing culture. While many roles are remote-first, Coinbase is not remote-only: in-person participation is required throughout the year for team and company-wide offsites; attendance is expected and supported.

About the team

The Finance Analytics team bridges data engineering, data science, and business analytics by building scalable, impactful data solutions that empower Finance, Accounting/Controllership, and Treasury stakeholders. The team owns pipelines, data models, and certified financial datasets that must meet the rigor and traceability required in a regulated financial environment. This role supports the data layer efforts, observability and controls that keep financial datasets reliable, partnering closely with Finance, Accounting, Treasury, and Product Engineering to ensure data is complete, reconciled, and audit-ready for workflows like month-end close and reporting at scale.

Responsibilities

• Build subject-matter expertise in specific business/data domains and understand data flows end-to-end (creation, ingestion, transformation, delivery).
• Deliver first data pipelines and insights for new lines of business; communicate with engineering teams to resolve data gaps for downstream consumers.
• Take initiative and accountability for fixing issues anywhere in the stack; perform reconciliation-style validation across internal and external sources, identify discrepancies, and drive fixes with upstream owners.
• Interface with stakeholders (product, finance, accounting) to deliver commercial value from data—either by building curated data models or delivering direct insights.
• Build curated datasets that streamline ledger verification and accounting workflows to accelerate time-to-close for new product launches.
• Propose engineering improvements informed by statistical and data expertise to improve reconciliation and match accuracy.
• Develop abstractions (UDFs, Python packages, dashboards) to support scalable data workflows and infra; stand up frameworks for debugging AI skills/data apps internally.
• Implement strong data quality guarantees (tests, monitoring, alerting, SLAs); improve reliability and operational excellence for critical pipelines (incident response, retrospectives, performance tuning, cost optimization).

Requirements

• Strong understanding of modular, reusable data model design (star/snowflake schemas) and designing curated datasets for analytics/reporting with clear definitions and change management.
• Proficiency in advanced SQL techniques for transformation, querying, and optimization.
• Expertise in scripting and automation with Object-Oriented Programming and experience building scalable frameworks.
• Strong ability to translate technical concepts into business value and manage projects across cross-functional stakeholders.
• Experience building, maintaining, and optimizing ETL/ELT pipelines using modern tools (dbt, Airflow, or similar); experience orchestrating workflows with Airflow (DAG design, scheduling, backfills, operational ownership).
• Proficiency in building polished dashboards using tools such as Looker, Tableau, Superset, or Python visualization libraries (Matplotlib, Plotly).
• Familiarity with version control (GitHub), CI/CD, and modern development workflows.
• Knowledge of modern data lake/warehouse architectures and transformation frameworks (e.g., Snowflake, Databricks) with hands-on production experience.
• Track record building for correctness and reliability: data quality frameworks, monitoring/alerting, incident response, and stakeholder-facing SLAs.
• Familiarity with statistics and probability.
• Expertise in prompt engineering and LLM design (e.g., GPT): creating, refining, and optimizing prompts for internal tools and use cases.
• Demonstrated ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in workflows, applying human-in-the-loop practices.

Nice to haves

• Experience with financial reconciliation, controllership/accounting reporting, audit/SOX-style controls, or regulated environments.
• Familiarity with ledger/event-based financial models and double-entry accounting concepts.
• Experience with streaming/event-driven systems (Kafka/Kinesis) and near-real-time data validation patterns.
• Experience with table replication/synchronization patterns between lakehouse and warehouse environments.
• Fintech/crypto domain experience.
• New York City presence preferred — the role is remote-friendly but Coinbase prefers candidates who can commute to the NYC office for stakeholder meetings and project work as needed.

Compensation and additional info

• Job ID: P76160
• Pay transparency: Annual base salary range (excluding equity and bonus): $180,370 — $212,200 USD. Total compensation may include equity, bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Commitment to equal opportunity and candidate privacy

Coinbase is an Equal Opportunity Employer and will consider qualified applicants without regard to protected characteristics. Coinbase participates in E-Verify in certain locations as required by law. Global Data Privacy Notice for job candidates is provided; by submitting an application you agree to processing of your data per those notices.

AI disclosure

Coinbase may pilot AI tools for initial screening interviews and interview intelligence; humans will review interview responses and Coinbase does not use AI to make employment decisions.