Senior Analytics Engineer - Remote

Overview

The Data and Analytics team (DA) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with stakeholders across Finance, Sales, Marketing, Product, and other business teams to ship data solutions that are trusted, reliable, and transformative. Our goal is to empower employees to do their best work by building the foundational data products that drive business decisions and accelerate Chainalysis’ growth.

As a Senior Analytics Engineer, you’ll play a pivotal role at the intersection of data engineering, analytics, and business strategy. You'll apply software engineering principles—version control, CI/CD, testing, and documentation—to the analytics workflow, building scalable and trusted data models. You are a builder who thrives on transforming complex, raw data into enterprise-grade datasets that enable informed decisions across the organization.

In Short

• Design, develop, and maintain robust, scalable data models and transformation pipelines using dbt and SQL.
• Collaborate with stakeholders to translate business requirements into technical specifications.
• Apply software engineering best practices to ensure data quality and maintainability.
• Own and enhance the data architecture within cloud data warehouses.
• Develop and manage data integrations from source systems using tools like Fivetran.
• Mentor engineers and analysts on advanced dbt data modeling techniques.
• Contribute to our data governance framework by establishing standards for data quality.

Requirements

• 5+ years of professional experience in analytics engineering or data engineering.
• Expert-level proficiency in SQL and data modeling techniques.
• Extensive hands-on experience building dbt projects.
• Strong programming skills in Python for data manipulation.
• Experience with modern cloud data warehouses like Snowflake.
• Proven ability to work cross-functionally.
• Experience with version control systems such as Git.

Benefits

• Opportunity to work with cutting-edge blockchain technology.
• Collaborative and diverse work environment.
• Professional development and mentorship opportunities.
• Flexible working arrangements.
• Comprehensive benefits package.