RevOps Analytics & BI Analyst

Accountabilities:

• • Build and maintain a curated data layer using dbt models and transformations, turning raw data sources into trusted, reusable tables.
  • Design scalable data transformation architecture that can support new datasets, analytical use cases, and evolving business needs.
  • Define, standardize, document, and maintain core revenue metrics, including ARR, pipeline, conversion rates, forecasting, and related KPIs.
  • Develop and maintain a semantic layer that provides a consistent single source of truth for revenue and commercial analytics.
  • Own the official BI reporting layer, creating dashboards and self-service reporting that enable teams to make faster, more confident decisions.
  • Translate GTM and Revenue Operations questions into well-defined metrics, analytical frameworks, dashboards, and actionable recommendations.
  • Ensure the full analytical workflow is connected and reliable, from raw data through modeling and metric definition to final visualization.
  • Partner directly with business stakeholders, communicate insights clearly, and help teams understand what the data means and where action is needed.
  • Establish a governed and documented analytics foundation that reduces duplicated business logic and improves consistency across reporting.
  • Continuously improve analytical processes, data quality, visualization standards, and reporting capabilities in a high-ownership environment.

  Requirements:

  • Strong SQL skills and hands-on experience with data modeling, transformations, and modern analytics workflows.
  • Practical experience with dbt or an equivalent data transformation framework.
  • Demonstrated ability to design effective BI dashboards that prioritize clarity, usability, and decision-making rather than simply presenting charts.
  • Strong data visualization and metric-definition skills, including the ability to represent complex relationships and business concepts clearly.
  • Experience owning the complete analytics lifecycle: raw data → data model → metric → dashboard → business insight.
  • Strong business orientation, with the ability to translate GTM, Sales, and Revenue Operations questions into analytical solutions rather than simply responding to predefined requests.
  • Experience with BigQuery and/or modern data-stack technologies is highly desirable.
  • Experience using Python for more complex data transformations is a plus.
  • Previous experience in GTM, Revenue Operations, Sales Analytics, Commercial Analytics, or a similar business-facing analytics environment is preferred.
  • Ability to work directly with stakeholders, present findings, and communicate analytical concepts to both technical and non-technical audiences.
  • Strong ownership, analytical thinking, adaptability, and comfort working with ambiguity and rapidly changing priorities.
  • Ability to operate effectively in a fast-paced, collaborative environment where experimentation, continuous improvement, and measurable impact are valued.
  • Demonstrated AI fluency and the ability to use AI tools to accelerate workflows, structure problems, improve analytical output, and increase productivity.

  Benefits:

  • Fully remote work opportunity for candidates based in Brazil.
  • Full-time position within a distributed, international environment.
  • High degree of ownership and autonomy over analytics infrastructure, reporting, and business intelligence initiatives.
  • Opportunity to work on high-impact revenue analytics supporting pipeline, forecasting, conversion, retention, and commercial performance.
  • Exposure to modern data-stack technologies, including dbt, BigQuery, BI tools, and advanced analytics workflows.
  • Strong opportunities for professional growth through challenging projects, experimentation, continuous feedback, and cross-functional collaboration.
  • Mission-driven environment focused on solving complex problems and delivering meaningful impact.
  • The original job posting does not specify salary, healthcare coverage, bonus structure, or additional benefits; these details should be confirmed during the hiring process.