Analytics Engineer

About the Position
The Director, Data Analytics & Business Intelligence is a hands-on leader who owns the enterprise analytics and reporting function at FiscalNote. This is a player/coach role: you will personally build the models, pipelines, and dashboards that power decision-making across the company while also guiding a small, high-impact team. You work closely with our SLT and with product, engineering, sales, finance, and customer success to identify KPIs, surface insights before they're asked for, and deliver actionable analytics that improve operational efficiency, customer experience, and financial performance. The right person doesn't wait for direction — they see the gaps, understand the stakes, and build the solution.
About the Team
The Business Intelligence team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function — from sales to finance to customer success — ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the use of data.
About You
You are a builder first. You don't need a requirements doc to know what the business needs — you've already spotted the gap, formed a hypothesis, and started sketching the model. You're equally comfortable writing complex SQL in Snowflake, building a dbt model from scratch, and presenting a board-level dashboard to the CFO. You've spent years working with Salesforce data and know its quirks, relationships, and edge cases well enough to build reliable models without hand-holding. You lead with craft and credibility: your team trusts you because you can do the work yourself, and your stakeholders trust you because you consistently deliver insights that actually change decisions. You're energized by ambiguity, allergic to stale data, and relentless about getting things right.
What To Expect In This Position:
- Build and maintain dbt models with SQL and Jinja for analytics and dataops across departments including finance, product, sales, and customer success
- Harden analytics models via tests, freshness checks, constraints, etc. to ensure the quality and correctness of our data
- Create reports and dashboards in Metabase using the visual query builder
- Conduct ad-hoc analysis to understand our data in depth and answer business questions
- Collaborate with stakeholders across the organization to understand their respective business domains and design analytics solutions for them

What Sets You Apart:
- 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 at least one dbt project
- Strong dimensional, relational, or semantic data modeling skills
- Familiarity with structured, semi-structured and unstructured data formats
- Experience with data visualization products such as Metabase, Looker, and Tableau
- Ability to explore and analyze complex datasets
- Strong communication skills and ability to write thorough, high-quality documentation
- Basic statistical analysis to identify trends, outliers, etc.
- Git-based development, pull requests, code review, and CI/CD
- Experience with Snowflake and SnowSQL (preferred)
- Experience with Metabase (preferred)
- Python proficiency (preferred)
- Experience performing data munging and analysis with tools and environments like Pandas/Polars and Jupyter Notebooks (preferred)

About FiscalNote
FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn th