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 their analytics and reporting function. This role involves building models, pipelines, and dashboards while guiding a high-impact team to drive informed 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

Requirements:

• 8+ years of experience in data analytics, business intelligence, or a related field, with at least 3 years in a senior or lead role
• Demonstrated player/coach orientation — you are as productive as an individual contributor as you are as a team lead, and you take pride in both
• Advanced SQL skills with deep, hands-on experience querying and optimizing in Snowflake; you write complex, production-grade SQL without assistance
• Extensive experience building data models from Salesforce data, including a strong understanding of Salesforce's object structure, relationships, and common data quality challenges
• Hands-on experience building and maintaining dbt models in a production environment
• Proficiency with modern data stack tooling including Snowflake, Databricks, Fivetran, and Segment
• Experience building and managing reporting in Metabase or comparable BI platforms; familiarity with ThoughtSpot or Sigma is a strong plus
• Track record of delivering executive-level analytics and reporting to C-suite stakeholders
• Proven ability to work with minimal direction — you identify what needs to be built, prioritize independently, and deliver without waiting to be asked
• Strong data governance mindset with experience establishing quality standards and documentation practices
• Experience managing and scaling small, high-impact technical teams
• Strong cross-functional leadership skills with the ability to influence without direct authority
• Exposure to and working knowledge of NetSuite, Coupa, Zendesk, and Gong data structures and integrations
• Experience supporting M&A due diligence or system migrations in a corporate transaction context
• Experience with SOX or similar audit and compliance frameworks for data systems
• Experience driving AI/ML or intelligent automation initiatives within a business analytics context
• Background in SaaS or technology companies with complex, multi-system data environments