Director, Data Analytics & Business Intelligence

What To Expect In This Position

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

What Sets You Apart

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

Exposure to and working knowledge of NetSuite, Coupa, Zendesk, and Gong data structures and integrations (preferred)

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

Experience supporting M&A due diligence or system migrations in a corporate transaction context (preferred)

Experience with SOX or similar audit and compliance frameworks for data systems (preferred)

Experience driving AI/ML or intelligent automation initiatives within a business analytics context (preferred)

Background in SaaS or technology companies with complex, multi-system data environments