Nansen.ai is hiring an Analytics Engineer to join our Business Intelligence team, reporting directly to the Head of BI. This role is responsible for building and maintaining the data infrastructure that powers critical decision-making across the company, with a focus on blockchain data, trading, and staking analytics.
What You'll Do
- Develop and own core data models that enable faster, better decisions across the organisation
- Design, develop, and support data pipelines, warehouses, and reporting systems to solve business operations, user, and product problems
- Build internal tools leveraging AI to 10x team productivity and enable self-serve analytics
- Work closely with analysts and finance to create, test, and maintain data models for our analytics, trading, and staking products
- Transform and model blockchain data into actionable datasets
- Take initiative and ownership of solutions to data quality and workflow challenges
- Drive scalable approaches to data governance and observability
- Leverage AI tools like Claude Code and Cursor throughout the development lifecycle
What We're Looking For
- Experience leading data warehousing and modeling projects, ideally in a fast-growth environment
- Exceptional SQL and data modeling skills
- Strong proficiency in Python
- Hands-on experience with dbt for data transformation and modeling
- First-hand experience building tools or improving processes with AI tools
- Deep understanding of blockchain data, on-chain analytics, and crypto markets (or strong willingness to learn)
Nice to Have
- Experience with Fivetran or similar ETL tools and data observability tooling
Technical Stack
- Google Cloud Platform
- dbt
- BigQuery, Clickhouse
- Metabase
- Fivetran
Team & Environment
You will join a small, elite team that works at the intersection of data, engineering, and product.
Benefits & Compensation
- Globally competitive compensation, equity, and benefits including Nansen Hubs
Work Mode
This is a remote-first position with a global hiring strategy.
Nansen is an equal opportunity employer.




