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.
Accountabilities
- 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.
Requirements
- 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.
Benefits
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
