Analytics Engineer

The Role

As an Analytics Engineer at FiscalNote, you will design the infrastructure that converts raw data into strategic intelligence. You’ll be responsible for the end-to-end data lifecycle, from building modular dbt models to crafting the visual dashboards that executives rely on. The focus is on creating a 'single source of truth' that scales across departments like finance, sales, and product.

Vibe Coding Opportunities

While maintaining high standards for data integrity, this team is explicitly AI-forward. You will have the opportunity to:

• Accelerate dbt Development: Use AI tools to generate complex SQL CTEs, Jinja macros, and schema documentation.
• Implement AI Agents: Explore the use of agentic harnesses to monitor data quality and automate reporting systems.
• Modern Python Scripting: Leverage LLMs to write and refactor high-performance analysis scripts in Pandas or Polars.

Growth & Impact

You’ll work at the intersection of technology and global policy, solving technical puzzles that have real-world implications. This is a chance to move beyond manual data entry and into a role where you automate entire classes of problems, leveraging a modern stack including Snowflake, Metabase, and CI/CD pipelines to deliver high-quality, documented code.