Senior Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst based in Brazil.

This is a high-impact analytics role focused on turning complex business data into clear, trusted insights for leadership and external stakeholders. You will primarily own Finance and Post-Sales analytics, connecting Sales and customer lifecycle data into a consistent view. You’ll build and maintain the reporting layer that supports board reporting, planning, business reviews, and strategic decisions. The role combines hands-on SQL, data modeling, BI development, and stakeholder partnership. You’ll work closely with Finance, senior leaders, and cross-functional teams in a fast-moving, distributed environment. AI is also expected to be a core part of how you automate workflows, accelerate analysis, and create scalable data solutions.

• Own Finance and Post-Sales analytics, developing and maintaining the reporting layer that connects Sales, Post-Sales, and customer lifecycle data.
• Partner with Finance and senior leadership to define, validate, and maintain key metrics used for board reporting, annual planning, and monthly or quarterly business reviews, including MRR/ARR, churn, retention, and revenue attribution.
• Build a consistent end-to-end view of the customer journey, from pipeline and activation through retention and expansion, while resolving discrepancies in metric definitions across teams.
• Own external partnership reporting from requirements gathering through delivery, including customer-facing dashboards and self-service reporting.
• Translate partner data requirements into reliable data models and dashboards while ensuring information is accurate and appropriately permissioned.
• Build, automate, and maintain dashboards and reports using BI platforms such as Sigma and Tableau to monitor cross-funnel KPIs.
• Develop and maintain end-to-end data models and pipelines that provide trusted sources of truth for business reporting.
• Identify opportunities to use AI to automate repetitive workflows, accelerate analysis, and develop reusable tools and data infrastructure.
• Communicate complex analytical findings clearly to technical and non-technical audiences and act as a trusted data advisor to stakeholders.

• 4+ years of professional experience in data analytics, business intelligence, or a related technical field, ideally with experience in Finance, FinTech, Business Operations, or Retention analytics.
• Advanced SQL skills, including the ability to write complex queries, manipulate data, and investigate business questions independently.
• Strong experience with data transformation and modeling, including tools such as dbt.
• Hands-on expertise with business intelligence and data visualization platforms, particularly Sigma and/or Tableau.
• Proven experience building and maintaining end-to-end data models and pipelines that serve as reliable sources of truth.
• Demonstrated ability to develop and own dashboards and reporting suites that deliver actionable insights to business stakeholders.
• Strong analytical and problem-solving skills, with a high level of attention to data accuracy and consistency.
• Excellent communication and stakeholder-management skills, with the ability to translate technical concepts into clear business recommendations.
• Demonstrated ability to use AI beyond basic productivity improvements, including automating workflows, accelerating analysis, and building reusable data solutions.
• Experience working in a fast-paced, high-growth environment and partnering effectively with senior leadership.
• Salesforce experience is a plus.
• Ability to work during standard US business hours, with any 8-hour shift between 9:00 AM and 8:00 PM EST.

• Competitive compensation benchmarked according to function, seniority, experience, and location.
• Equity opportunity, allowing eligible employees to participate in the long-term success of the business.
• Comprehensive medical, dental, and vision coverage, with benefits varying by region.
• Generous paid parental leave.
• Flexible paid time off.
• Local retirement or savings plans, depending on location.
• Remote-friendly, distributed working environment.
• Commitment to pay equity and an inclusive workplace.
• Opportunity to work on high-impact analytics supporting leadership, finance, customer operations, and external partnerships.