Analytics Engineer

• The Data and Analytics team is responsible for unlocking the value in Chainalysis’ corporate data and building foundational data products.
• Design, develop, and maintain robust, scalable data models and transformation pipelines using dbt and SQL—with a special emphasis on expert-level data modeling in dbt—to support analytics and business intelligence across the company.
• Collaborate with stakeholders in Finance, Sales, Marketing, and Product to translate business requirements into technical specifications for reliable datasets.
• Apply software engineering best practices, including Git version control, CI/CD, automated testing, and documentation, to ensure data quality and maintainability.
• Own and enhance the data architecture within our cloud data warehouses (Snowflake/Redshift/Databricks), optimizing for performance, scalability, and cost-effectiveness.
• Develop and manage data integrations from source systems (e.g., Salesforce, NetSuite, Pendo) using tools like Fivetran and custom Python scripts.
• Mentor engineers and analysts on advanced dbt data modeling techniques and the effective use of our data stack.
• Contribute to our data governance framework by establishing and enforcing standards for data quality, consistency, and metric definition.

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Analytics Engineer