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Stefanini LATAM

Finance Automation Specialist

Stefanini LATAM

. Map and diagnose finance and accounting processes, identifying manual steps, data-entry points, and structural gaps that block automation.

Posted 9/21/2026full-timeLa Libertad • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying automation solutions using Microsoft Power Platform tools, including Power Automate and Power Apps, while ensuring data integrity and compliance through effective data modeling and transformation. Collaborates cross-functionally with finance and IT teams to enhance process efficiency and drive automation impact.

Highest-signal resume keywords
Microsoft Power Platform ProficiencyDAX Data ModelingETL/Data-Preparation SkillsData Transformation ExpertiseAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data TransformationData ModelingETL LogicDAXPower AutomatePower AppsCopilot StudioAI BuilderDataverseSQL
Soft Skills
Analytical SkillsProblem-SolvingCross-Functional Collaboration
Tools & Technologies
Power QueryData StructuresAutomation Tools
Certifications & Qualifications
Microsoft Power Platform CertificationAI/Data Certification
Industry Keywords
Finance TransformationShared ServicesAutomationRPAMultinational EnvironmentTelecommunications

Tech Stack

Tools & technologies
ETLPythonRPASQL

About the role

Key responsibilities & impact
  • Map and diagnose finance and accounting processes, identifying manual steps, data-entry points, and structural gaps that block automation.
  • Redesign processes to be automation-ready by simplifying decision logic, standardizing inputs, and removing unnecessary manual handoffs.
  • Design, build, and deploy automations using Power Automate, Power Apps, Copilot Studio, AI Builder, and Dataverse.
  • Build ETL/data-preparation pipelines and structure, clean, and model finance data for automated logic and AI models.
  • Build DAX-based data models with calculated columns, measures, and relationships to drive thresholds, routing rules, validation checks, and workflow decisioning.
  • Create reusable data models and transformation logic that scale across finance processes.
  • Establish exception-handling, validation, and control logic to maintain auditability and compliance.
  • Pilot, test, iterate, and measure automation impact with process owners.
  • Maintain and prioritize the Finance Shared Services Center automation backlog.
  • Partner with IT and data teams on source access, integration, and governance.

Requirements

What you’ll need
  • Bachelor's degree in Industrial Engineering, Data Science, Computer Science, Information Systems, or a related field; equivalent hands-on experience or certifications in AI/automation will be considered.
  • Strong data transformation and modeling skills, including designing data structures/schemas and building ETL/data-prep logic.
  • Proficiency in DAX for measures, calculated columns, relationships, and automated decisioning.
  • Practical experience with Microsoft Power Platform: Power Automate, Power Apps, Copilot Studio/AI Builder, and Dataverse, or strong ability to ramp up quickly.
  • Experience with Power Query, SQL, or similar structural/pipeline-level data tools.
  • Strong analytical and problem-solving skills.
  • Ability to work cross-functionally with finance, accounting, and IT stakeholders.
  • Preferred: Microsoft Power Platform certification (PL-100, PL-200, PL-300, or equivalent) or AI/data certification.
  • Preferred: SQL or Python experience complementing DAX.
  • Preferred: shared services, finance transformation, or automation/RPA experience.
  • Preferred: multinational or telecommunications environment experience.