Note: The job is a remote job and is open to candidates in USA. FiscalNote is a leader in policy and global intelligence, and they are seeking a Director of Data Analytics & Business Intelligence. This role involves leading the enterprise analytics and reporting function while personally building models and dashboards to improve 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
Skills
- 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
Benefits
- Competitive salaries
- Retirement accounts
- Equity packages
- Comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe
Company Overview