Director, Data Analytics & Business Intelligence

Job description

### **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. #LI-HR1 ### 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