Senior Analytics Engineer (Platform - Financial Analytics)

About the role

This role centers on empowering financial stakeholders by providing them with data-driven insights. The Senior Analytics Engineer will develop expertise in specific business and data domains, delivering data pipelines and insights in collaboration with engineering and product teams. A key aspect is communicating with engineering to address data gaps and ensuring data accuracy through validation across various sources.

The position requires interfacing directly with stakeholders to extract commercial value from data. This involves designing modular and reusable data models and creating new abstractions to support scalable data workflows. The goal is to build robust data infrastructure that enables informed financial decisions within the company.

Success in this role means consistently delivering reliable data solutions that meet the needs of financial teams. This includes proficiency in advanced SQL, scripting for automation using object-oriented programming, and building effective dashboards. The work directly contributes to Coinbase's mission of building an on-chain platform for the future financial system.

The annual base salary for this position ranges from $180,370 to $212,200 USD, with additional eligibility for equity and bonuses.

Skills that matter here

• SQL: This role requires advanced SQL techniques for data manipulation and querying.
• Python: Python is used for scripting, automation, and potentially building dashboards.
• Looker: Candidates should be proficient in building dashboards using Looker to visualize data.
• dbt: Experience with dbt is required for managing and transforming data in ETL/ELT pipelines.
• Airflow: Airflow is used for orchestrating and managing ETL/ELT data pipelines.
• Snowflake: This role will likely involve working with Snowflake for data warehousing.

Who this role suits

• Someone who enjoys deep diving into specific business and data domains to become a subject matter expert.
• A person who thrives on collaborating with both engineering and business stakeholders to solve data challenges.
• An individual who is meticulous about data accuracy and can perform reconciliation-style validation.
• A candidate who is adept at translating complex data into clear, actionable insights for financial teams.

From the employer

• Build subject matter expertise in specific business areas and data domains.
• Deliver 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.
• Develop new abstractions to support scalable data workflows.

• Strong understanding of designing 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 and tools like dbt and Airflow.
• Proficiency in building dashboards using Looker, Tableau, or Python libraries.

• Remote-friendly role with preference for NYC presence.
• Annual base salary range: $180,370—$212,200 USD.
• Equity and bonus eligibility.
• Benefits include medical, dental, vision, and 401(k).