Especialista Financeiro I

New
J
JobgetherFinance
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
PythonSQLMicrosoft Power BITableau

Requirements

  • Bachelor’s degree in Finance, Business Administration, Engineering, Economics, Information Technology, or related fields.
  • Solid professional experience in finance, particularly in accounts receivable, reconciliation operations, or marketplace financial processes.
  • Experience working with marketplace reports, settlements, fees, chargebacks, and high-volume financial transactions.
  • Practical experience applying artificial intelligence tools and automation solutions to optimize workflows.
  • Knowledge of RPA technologies, Python, Make, Zapier, or similar automation tools.
  • Experience with ERP systems such as SAP S/4 and reconciliation platforms such as Simetrik, Ytech, Renova, or similar solutions.
  • Strong data analysis skills with experience using Google tools, BI platforms such as Power BI or Tableau, and dashboard creation.
  • Knowledge of SQL and database concepts is considered a strong advantage.
  • Ability to communicate effectively with both technical teams and executive stakeholders.
  • Strong analytical thinking, curiosity, and ability to investigate complex financial discrepancies.
  • Problem-solving mindset with the ability to propose practical solutions in changing environments.
  • Strong collaboration skills with the ability to influence stakeholders and support process improvements.

Responsibilities

  • Act as a strategic business partner for accounts receivable operations, collaborating with Technology, Commercial, E-commerce, and Logistics teams to translate business needs into financial and digital solutions.
  • Lead advanced marketplace reconciliation activities, ensuring accuracy in settlements, fees, shipping costs, cancellations, chargebacks, and financial adjustments.
  • Monitor and improve financial processes by identifying manual activities, operational bottlenecks, and opportunities for automation.
  • Support the implementation of artificial intelligence solutions, intelligent automation, RPA initiatives, and predictive analysis to increase operational scalability and efficiency.
  • Build and present strategic dashboards and performance indicators to support executive decision-making and proactively identify financial and operational risks.
  • Analyze reconciliation discrepancies, investigate root causes, and develop structured solutions to improve accuracy and service levels.
  • Drive process optimization initiatives by connecting people, technology, and workflows to reduce rework and improve operational performance.
  • Support system transitions and digital transformation projects, ensuring process continuity and financial data reliability.
  • Collaborate with different teams to promote change management and continuous improvement across financial operations.
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