• 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.

Role Description - Desenvolver modelos de dados que suportem análises exploratórias, dashboards e modelos preditivos; - Trabalhar em conjunto com times Negócio e Data Science para estruturar datasets analíticos (Data Marts, Views, Camadas Semânticas); - Projetar e otimizar consultas SQL para análises de alto volume de dados; - Documentar regras de negócio aplicadas; - Explorar dados para identificar padrões, anomalias e oportunidades de melhoria nos processos; - Implementar boas práticas de governança e qualidade de dados (linhagem, catálogo, consistência); - Apoiar times de produto, marketing e negócios no entendimento dos dados e na viabilização de análises ad-hoc; Qualifications - Conhecimento em arquiteturas de Data Warehouse, Data Lake ou Lakehouse; - Forte domínio de SQL e modelagem de dados para análises; - Experiência em ETL/ELT e orquestração de dados (Airflow); - Experiência com tecnologias como: AWS Redshift, AWS S3, Glue; - Experiência com criação de modelos de dados e indicadores; - Experiência com modelagem dimensional de dados; - Conhecimento em metodologia ágil; - Conhecimentos em GitHub;