Senior Analytics Engineer, Data Modeling & BI

FiscalNote, Inc.; Washington (District of Columbia); On-site; USD 130,000 - 145,000; Full time

Job summary

FiscalNote, Inc. seeks an Analytics Engineer to build data models in dbt, craft SQL queries, and deliver scalable analytics across finance, product, sales, and customer success.

You will collaborate with product and operations to convert raw data into trusted insights that drive decision making. You will be expected to own data modeling, contribute to dashboards, and ensure data quality through tests and governance, while working with Metabase/Looker/Tableau and Git-based workflows.

Qualifications

• 4+ years in analytics engineering, data analysis, or a related technical role.
• Excellent data modeling proficiency with an eye toward simplicity and modularity.
• Advanced proficiency in SQL, including complex joins, window functions, and CTEs.
• Production experience in dbt projects.
• Familiarity with structured, semi-structured and unstructured data formats.
• Experience with data visualization products such as Metabase, Looker, and Tableau.
• Strong communication skills and ability to write thorough, high‑quality documentation.
• Baseline statistical analysis to identify trends and outliers.
• Git-based development, pull requests, code review, and CI/CD.

Responsibilities

• Build and maintain dbt models with SQL and Jinja for analytics across departments (finance, product, sales, customer success).
• Harden analytics models via tests, freshness checks, constraints for data quality.
• Create reports and dashboards in Metabase (visual query builder).
• Conduct ad-hoc analysis to understand data and answer business questions.
• Collaborate with stakeholders to design analytics solutions for their domains.

Skills

SQL

dbt

Python

Data modeling

Tools

Metabase

Looker

Tableau

Snowflake

SnowSQL

Pandas/Polars

Jupyter Notebooks

Git

CI/CD

Job description

FiscalNote, Inc. seeks an Analytics Engineer to build data models in dbt, craft SQL queries, and deliver scalable analytics across finance, product, sales, and customer success.

You will collaborate with product and operations to convert raw data into trusted insights that drive decision making. You will be expected to own data modeling, contribute to dashboards, and ensure data quality through tests and governance, while working with Metabase/Looker/Tableau and Git-based workflows.