Senior Analytics Engineer (Platform - Financial Analytics)

About the role

This role focuses on developing robust and scalable data solutions specifically for Coinbase's Finance, Accounting, and Treasury departments. The work involves creating initial data pipelines and insights in collaboration with engineering and product teams, ensuring that financial stakeholders have the necessary data for their decision-making processes. A key aspect is understanding specific business areas and data domains to effectively support these functions.

The Senior Analytics Engineer will be responsible for identifying and addressing data gaps by communicating directly with engineering teams. This includes performing validation across different data sources to ensure accuracy and consistency. The ultimate goal is to deliver commercial value from data by interfacing with various stakeholders and translating their needs into effective data solutions.

Success in this position means empowering financial teams with reliable, high-quality data. This involves not only technical execution in building pipelines and dashboards but also a strong ability to understand financial operations and communicate complex data concepts clearly to non-technical audiences. The role sits at the intersection of data engineering, data science, and business analytics.

The annual salary for this role ranges from $112,000 to $188,000, with additional potential for equity and bonuses.

Skills that matter here

• SQL: This role requires advanced SQL techniques for data manipulation and querying to build and manage data models.
• Python: Proficiency in Python is needed for scripting, automation, and developing object-oriented programming solutions within data pipelines.
• Airflow: Experience with Airflow or similar modern tools is essential for building and managing ETL/ELT pipelines.
• Looker: The role involves building dashboards and visualizations using tools like Looker to present data insights to stakeholders.
• Snowflake: Familiarity with Snowflake or similar data warehousing solutions is expected for managing and processing large datasets.
• GitHub: Experience with GitHub and modern development workflows is required for version control and collaborative coding practices.

Who this role suits

• A person who thrives on understanding complex financial data domains and translating them into technical data solutions.
• Someone who enjoys collaborating across engineering, product, and business teams to solve data challenges.
• An individual with a strong commitment to data accuracy and the ability to perform detailed reconciliation-style validation.
• A candidate who is adept at communicating technical information clearly to both technical and non-technical audiences.

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.