Senior Analytics Engineer

Summary

Join TRM Labs, a blockchain intelligence company dedicated to combating crime and creating a safer world. As a Senior Analytics Engineer on the Advanced Analytics team, you will play a crucial role in maturing and scaling the analytics data ecosystem. You will lead the development and optimization of analytics pipelines and data models, define and implement best practices in analytics engineering, and improve the scalability and maintainability of the analytics data ecosystem. You will also partner with data scientists, data engineers, product, and business teams to deliver production-ready datasets, establish best-in-class data quality solutions, and investigate performance issues. This role requires a strong background in analytics/data engineering and data science, and the ability to thrive in ambiguous environments and independently drive critical initiatives.

Requirements

• 8+ years of experience in analytics engineering, data engineering, or data science with a strong focus on building and scaling analytics workflows
• Strong experience across the entire Data Engineering lifecycle (from ETLs, Data Model design, infra, Data Quality, architecture etc.)
• Deep proficiency in SQL and experience developing robust, modular data models using dbt (or equivalent tools) in a production environment
• Strong software engineering fundamentals, including experience with Python, CI/CD pipelines, and automated testing
• Proficiency in defining robust and scalable data models using best practices
• Experience using LLMs as well enabling AI through high quality data infrastructure
• Hands-on experience with cloud data warehouses and infrastructure (e.g., Snowflake, BigQuery, Redshift) and data orchestration tools (e.g., Airflow, Dagster, Prefect)
• Proficiency in developing compelling dashboards using tools like Looker, Tableau, Power BI, Plotly or similar
• Excellent communication skills — you can explain complex technical concepts to non-technical audiences and influence key decisions with clarity and data

Responsibilities

• Lead the development and optimization of analytics pipelines and data models that power TRM’s products, investigations, and decision-making — enabling teams across the company and our customers (including former FBI, Secret Service, and Europol agents) to detect and respond to financial crime in the crypto space
• Define and implement best practices in analytics engineering (e.g., testing, observability, versioning, documentation), helping to level up the team’s development workflows and data reliability
• Improve the scalability and maintainability of our analytics data ecosystem, which process large volume of data, through thoughtful architectural decisions and tooling improvements
• Partner closely with data scientists, data engineers, product and business teams to deliver production-ready datasets that support models, metrics, and investigative workflows
• Establish best-in-class data quality solutions to increase the reliability and accuracy of our data
• Investigate performance issues, and bring creative, durable solutions to improve long-term reliability, cost and developer experience
• Drive adoption of modern data tools and workflows, helping the team evolve toward best-in-class analytics engineering practices
• Contribute to team on-call responsibilities that support the health and availability of our analytics and data science infrastructure (on-call is lightweight and shared equitably)

Benefits

• Work alongside top experts and learn every day
• Embrace a growth mindset with development opportunities tailored to your role
• Take on high-impact challenges in a fast-paced, collaborative environment
• We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships
• We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration