Senior Analytics Engineer (Platform - Financial Analytics)

About the role

In this role, you will contribute to the Finance Analytics team at Coinbase, which focuses on bridging data engineering, data science, and business analytics. Your work will support Finance, Accounting, and Treasury teams by building scalable data solutions that drive data-informed decision-making.

Success in this position involves developing expertise in specific business areas and collaborating closely with engineering and product teams to create data pipelines and insights. You will also engage with stakeholders to ensure that the data solutions deliver tangible commercial value.

The salary range for this position is between $112,000 and $188,000, which reflects the competitive nature of the role.

Skills that matter here

• SQL: This role requires advanced SQL techniques to build data models and pipelines.
• Python: Python is used for scripting and automation to enhance data processing.
• Airflow: Airflow will be utilized for managing ETL/ELT workflows.
• Looker: Looker is one of the visualization tools for creating dashboards.
• Tableau: Tableau is also used for building insightful data visualizations.
• Snowflake: Snowflake is part of the tech stack for data storage and processing.

Who this role suits

• Candidates should have a strong background in data analytics and engineering.
• They should be effective communicators who can work cross-functionally.
• A collaborative mindset is essential, as the role involves working with various stakeholders.
• The ideal person is comfortable with remote work but can participate in occasional in-person meetings.

From the employer

• Build subject matter expertise in specific business areas and data domains.
• Deliver first data pipelines and insights with Engineering and Product partners.
• Communicate with engineering teams to fix data gaps.
• Perform reconciliation-style validation across sources.
• Interface with stakeholders to deliver commercial value from data.

• Strong understanding of modular and reusable data models.
• Proficiency in advanced SQL techniques.
• Expertise in scripting and automation with OOP.
• Strong cross-functional communication skills.
• Experience with ETL/ELT pipelines using modern tools.
• Proficiency in building dashboards using visualization tools.
• Familiarity with version control and modern development workflows.

• Remote-friendly with NYC location presence preferred.
• In-person participation required throughout the year.
• Competitive salary with equity and bonus potential.