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Topaz

Senior Financial Analyst

Topaz

. Extract, organize, and analyze information from financial, commercial, and operational databases and systems .

Posted 11/4/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in financial analysis, reporting, and revenue operations, with proficiency in BI tools and SQL for data management. Capable of collaborating across departments to deliver actionable insights while ensuring data quality and compliance.

Highest-signal resume keywords
Financial AnalysisBusiness IntelligenceSQL ProficiencyRevenue OperationsData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Financial AnalysisReportingData ValidationSQLRevenue RecognitionData AnalysisAutomation ToolsBI ToolsDashboard CreationMetrics Development
Soft Skills
CommunicationCuriosityCollaborationProblem-SolvingAttention to Detail
Tools & Technologies
Power BITableauLookerERP SystemsCRM SystemsArtificial Intelligence ToolsBI Tools
Industry Keywords
Revenue CycleAccounts ReceivableOrder-to-Cash CycleFinancial ProcessesData QualityReporting ProcessesSecurity GuidelinesConfidentiality GuidelinesLatin AmericaEurope

Tech Stack

Tools & technologies
ERPSQLTableau

About the role

Key responsibilities & impact
  • Extract, organize, and analyze information from financial, commercial, and operational databases and systems
  • Create and maintain reports, dashboards, and metrics covering the revenue cycle, from contracting and billing through collection
  • Support the reconciliation and validation of data across ERP, CRM, billing platforms, and BI tools
  • Check data quality and identify incomplete or duplicate records, inconsistencies, and discrepancies between sources
  • Prepare analyses of billing, revenue, accounts receivable, DSO, and other Revenue Operations metrics
  • Support the collection and analysis of information related to revenue recognition
  • Collaborate with Finance, Sales, Operations, and Technology to transform information needs into reports and analyses
  • Document metric definitions, data sources, calculation rules, and reporting processes
  • Identify repetitive tasks and support improvements and automation using approved data, BI, and artificial intelligence tools
  • Communicate findings, explaining what the data indicates and which areas require further analysis

Requirements

What you’ll need
  • Technical, associate, or bachelor’s degree—completed or in progress—in Accounting, Finance, Business Administration, Data Analytics, Information Systems, or a related field
  • 3 years of experience in financial analysis, reporting, business intelligence, revenue operations, or a data-related role
  • Demonstrated experience using artificial intelligence and automation tools for data analysis, insight generation, and process optimization
  • Ability to evaluate the quality of results, identify risks, and ensure the responsible use of artificial intelligence and automation tools in accordance with security and confidentiality guidelines
  • Hands-on experience with a BI tool such as Power BI, Tableau, Looker, or a similar platform
  • Knowledge of SQL for querying databases, joining tables, and preparing information for analysis
  • Knowledge of databases, data quality, and information validation
  • Interest in understanding financial processes such as billing, accounts receivable, the Order-to-Cash cycle, and revenue recognition
  • Curiosity to investigate discrepancies, understand data origins, and identify opportunities to improve processes
  • Interest in using artificial intelligence and automation tools to support analyses and streamline tasks while validating results and protecting information
  • Ability to communicate analyses and results to technical and non-technical audiences
  • Knowledge of the financial, accounting, and operational contexts of countries in Latin America, Europe, and the United States is a plus
  • Spanish proficiency is a plus

Benefits

Comp & perks
  • Comprehensive health insurance plans
  • Training and development programs
  • Opportunity to master technologies used in the financial services market
  • Hybrid work model
  • Birthday day off
  • Autonomy and work-life balance