Director, Data Analytics & Business Intelligence

FiscalNote is a leader in policy and global intelligence, and they are seeking a Director of Data Analytics & Business Intelligence to lead the enterprise analytics and reporting function. The role involves building models and dashboards while guiding a team to improve operational efficiency and decision-making across the company.

Responsibilities:

• Personally build and maintain core dbt models used in reporting across finance, product, sales, and customer success — this is a hands-on, individual contributor expectation, not a delegated one
• Own and evolve FiscalNote's enterprise analytics and reporting infrastructure, serving as the authoritative source of truth for business performance data
• Proactively identify analytical gaps and build reporting solutions before stakeholders know to ask — surface insights, don't just respond to requests
• Provide functional and technical leadership across core BI platforms including Snowflake, Databricks, dbt, Fivetran, Segment, Heap, Metabase, and Stitch
• Act as direct technical admin and functional lead for Metabase and Heap
• Build and maintain reporting infrastructure in Metabase, ensuring dashboards are accurate, performant, and accessible to stakeholders
• Define and maintain a self-serve analytics framework that empowers business teams to answer their own questions with confidence
• Prepare and deliver board- and investor-level data models and reporting for senior leadership (CFO, CEO, CRO)
• Support M&A due diligence for acquisitions and divestitures; lead data separation and migration efforts related to transactions
• Manage audit-related activities for in-scope data systems, including controls, documentation, and compliance
• Drive data governance and quality standards across all owned platforms
• Collaborate cross-functionally with sales, marketing, finance, operations, product, and engineering on data and analytics initiatives
• Coach and mentor junior analysts outside of direct reporting line
• Drive AI/ML initiatives and automation efforts to improve analytical efficiency and scalability
• Develop training programs to increase self-serve analytics adoption and proficiency across the business
• Manage system performance, scalability, security, and compliance across all owned platforms