Key skills
RPASQLRubyBIPower BISAPLeadership
About this role
Role Overview
- Act as the technical and analytical point of reference for Accounts Payable data, responsible for preparing, monitoring, analyzing and supporting the management of the area’s KPIs, ensuring visibility, reliability of information and support for leadership and operational decision-making.
- Structure and maintain the Accounts Payable KPI portfolio, ensuring alignment with strategy, governance and operations.
- Drive continuous improvement, automation, process simplification and data governance.
- Support strategic projects and transformation initiatives (RPA, automations, process and indicator reviews).
- Develop performance, efficiency, quality, risk and compliance metrics.
- Ensure conceptual consistency and business rules for indicators, preventing distortions and rework.
- Data Analysis & Insights
- Analyze operational and financial data, identifying deviations, trends, risks and improvement opportunities.
- Produce critical analyses that support management decisions and action prioritization.
- Serve as a bridge between data and operations, translating numbers into practical recommendations.
- Create, evolve and sustain management and operational dashboards, ensuring automation and reliability of data sources.
- Support executive presentations, leadership reports and recurring area materials.
- Document metrics, rules and data sources, contributing to information governance.
- Assist coordinators and managers in performance monitoring and visual management.
- Interact with areas such as Tax, Accounting, Procurement, PDC, Master Data and Technology to align data and indicators.
- Act consultatively in defining targets, action plans and tracking results.
- Identify opportunities for automation, standardization and process improvement based on data analysis.
Requirements
- Bachelor’s degree in Business Administration, Economics, Accounting, Engineering, Statistics, Information Systems or related fields.
- Experience in data analysis and metrics within financial areas.
- Experience building and monitoring operational and financial KPIs.
- Experience in high-volume, high-complexity data environments is a plus.
- Power BI (modeling, DAX, dashboard development).
- Advanced Excel (datasets, formulas, validations, analytical skills).
- Knowledge of SAP (FI/MM) for data reading and extraction.
- Basic knowledge of SQL or other data tools is a plus.
- Experience in shared service environments (Shared Service Center
- SSC) is a plus.
Tech Stack
- RPA
- SQL
Benefits
- Profit-sharing (PLR)
- Flexible working hours
- Hybrid model – 4x1
- On-site cafeteria
- Commuter allowance – 3% payroll deduction
- Free shuttle departing from:
- Osasco Bus Terminal
- Lapa Station (Line 7 Ruby)
- Butantã, Tatuapé and Santo Amaro metro stations
- Health insurance (monthly payroll cost + copayment)
- Dental insurance
- Wellhub on-site gym for added convenience
- NiveRD – Day Off
- Telemedicine
- Pharmacy benefit
- Therapy | Physical health and wellness platforms
- Corporate university
- Christmas hamper
- Extended maternity and paternity leave