• Prepare, ingest and integrate data from multiple sources related to AI usage, including events, logs and metrics. • Perform exploratory analyses to identify patterns of adoption, behavior and risks in AI usage. • Build dashboards, reports and scorecards that translate technical data into clear views for different audiences. • Collaborate with Product to define metrics, dimensions and events for AI monitoring. • Document business rules, data requirements and indicator logic, ensuring governance and traceability. • Present insights in a structured way to both technical and business stakeholders. • Support product evolution based on data analysis and feedback.

• 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

• Coletar, processar e acionar dados de lojas físicas e e-commerces • Tornar a comunicação de massa personalizada e automatizada • Definir processos e sistemas, levantar requisitos • Análise e desenvolvimento de forma independente ou em conjunto com o time • Implantação e manutenção de ETL, construindo entregáveis com foco no negócio e qualidade técnica

• Create, maintain, and enhance interactive Power BI dashboards and reports for business, technical, and leadership stakeholders. • Design and implement data visualization and reporting solutions that improve transparency of process assessments, data integrity, and information governance initiatives. • Develop standardized project reporting and visualization tools, including Power BI dashboards, to provide real-time visibility into project progress, risks, key metrics, and technical milestones. • Use Power BI and related analytics tools to analyze project data, identify trends, and generate actionable insights that support project planning, execution, and decision-making. • Collaborate with business users and stakeholders to gather requirements and translate them into effective data solutions. • Clean, transform, merge, and model data from multiple sources to support analytics, reporting, and dashboard development. • Utilize tools such as Power Automate to automate repetitive tasks, including status report generation, task reminders, notifications, and overdue task tracking. • Create and maintain reusable project dashboards that provide real-time insights into project status, progress, and key performance indicators. • Communicate complex data findings in a clear, actionable manner to technical and non-technical audiences. • Regularly present findings, reporting outputs, and actionable insights to stakeholders to support strategic planning and operational visibility. • Support continuous improvement of reporting processes, data quality, dashboard usability, and analytics practices. • Stay current with Power BI updates, reporting trends, and industry best practices to improve data solutions and visualization approaches.