Business Reconciliation Analyst, IESP PBO Latam

Amazon; São Paulo; Presencial; BRL 100.000 - 150.000; Tempo integral

Resumo da oferta

A leading company is seeking a Business Reconciliation Analyst to join their innovative team in São Paulo, Brazil. This role involves solving complex financial challenges, managing large datasets, and collaborating with various stakeholders to optimize processes. Ideal candidates will excel in managing ambiguity and have strong SQL and Excel skills.

Qualificações

• Experience in program management or project management.
• Proficient in SQL and advanced Excel.
• Strong ability to analyze complex data sets, especially in finance.

Responsabilidades

• Identify patterns in reconciliation issues and build business cases.
• Analyze financial anomalies and develop solutions.
• Collaborate with stakeholders to improve operational support.

Conhecimentos

Data analysis

Problem solving

Financial integrity

Descrição da oferta de emprego

BAS (Business Assurance Support) is the organization that identifies and reconciles open match sets (OMS) in accounts payable and receivable within the payments landscape. This timely reconciliation is critical for maintaining accurate financial reporting, reducing audit risks, and ensuring proper cash flow management. Our team works with sensitive data to understand patterns, address issues, and protect the company's financial integrity while optimizing working capital.

As a Business Reconciliation Analyst, you will work with multiple teams to solve reconciliation processes and provide financial support. You'll analyze anomalies identified in Cost of Payments (COP) reports, address solutions, and drive accuracy and efficiency in the P&L statement. This role involves working with large amounts of data and complex challenges, transforming them into clear business problem statements with corresponding solutions that benefit store results, customer experience, and our product offerings.

Key job responsibilities

• Identify patterns in reconciliation issues that reveal systemic problems requiring internal addressing or partner collaboration
• Build compelling business cases to influence tech and product teams to prioritize solutions in a resource-constrained environment
• Partner with external stakeholders to implement fixes or develop interim solutions
• Create innovative processes and content to empower support teams, driving efficiency and simplifying complex problems
• Analyze financial anomalies and develop solutions
• Provide timely, comprehensive assessments of COP components' contribution to an efficient P&L

A day in the life

• Solve complex operational challenges by diving deep to uncover root causes
• Collaborate with stakeholders to define and improve operational support models
• Lead conversations about automation and scaling solutions, including AI applications and self-service opportunities
• Streamline processes to reduce aging of pending OMS
• Translate data into actionable insights that drive meaningful changes across departments
• Manage program timelines and deliverables while maintaining strong team relationships
• Craft clear, impactful communications to keep stakeholders informed and aligned

Ideal Candidate Profile:

• Thrives in navigating ambiguity and turning complex problems into clear action plans
• Excels at managing large amounts of unstructured data and structuring it to provide comprehensive business statements
• Balances tactical execution with "think big" ideas
• Drives change through influence rather than direct authority

About the team

If you're passionate about financial integrity, data analysis, and driving meaningful change in a dynamic environment, we invite you to join our team at BAS. Your skills and innovative thinking will contribute directly to our mission of optimizing financial processes and enhancing customer experiences.

Apply now to be part of a team that's shaping the future of financial operations in e-commerce!

Qualifications include:

• Program manager or project management experience
• SQL knowledge
• Advanced Excel skills
• Advanced English proficiency
• Basic understanding of AI applications in customer service and data analysis
• Strong ability to analyze complex data sets, particularly in the payment industry with SQL knowledge

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