• Build and maintain data ingestion, processing, and integration pipelines from multiple sources (educational assessments, school management systems, and public databases such as the School Census and INEP). • Model relational databases and analytical structures that support efficient, scalable queries. • Automate routines for data updating, validation, and quality checks. • Develop and maintain panels, dashboards, and data visualization interfaces for use by education secretariat managers and internal teams. • Translate analytical needs of non-technical users into clear, intuitive visualization solutions. • Iterate on data access and navigation features based on user feedback. • Work closely with the technology team to define data architecture and system integrations. • Document technical processes, database structures, and indicator logic to ensure maintainability and continuity. • Support the specification of technical requirements for new analytical features with vendors or the development team. • Produce exploratory analyses and indicators to inform studies and reports for the monitoring, evaluation, and research (MER) area. • Support the methodological validation of predictive models and learning indicators. • Provide technical support to users of data tools, including training and troubleshooting.

• Elicit business, Marketing and consumer experience requirements and translate them into data solutions and products. • Map, document and integrate consumer data from multiple sources (e-commerce, CRM, websites, apps, campaigns, loyalty programs, Customer Service, marketing automation and CDPs). • Perform data mapping between source systems and the Azure platform, defining integration, transformation and enrichment rules. • Build and maintain data models and documentation (Customer Profile, Customer Journey, segmentations, Data Dictionary, Business Rules, Data Lineage and Customer Data Models). • Support the creation of a 360° consumer view by defining KPIs and working with Data Engineering on pipeline development and data modeling. • Ensure data quality, governance and compliance (LGPD), supporting CRM, Marketing Analytics, personalization and audience activation initiatives. • Act as a liaison between Marketing, CRM, Consumer Insights and technical teams.

• Lead analytical efforts to drive data informed decision-making across the entire organization by gathering, analyzing, and visualizing / presenting technical insurance data. • Collaborate with data engineering, insurance product, claims, finance, and operations teams to improve data integrity and automate reporting capabilities using VBA, SQL, and Python. • Transform complex insurance data into clear, compelling insights for both technical and non-technical stakeholders through required reporting and data visualization. • Conduct deep-dive data analysis, develop analytical tools, deliver dedicated solutions to help other departments automate their workflows, and identify opportunities to enhance business performance and operational effectiveness. • Provide ad hoc analytical support and research as needed to ensure Ledgebrook continues to operate with data-driven precision.

• Document current payroll processes, workflows, handoffs, controls and dependencies across countries or initiatives. • Create and maintain clear process maps, standard operating procedures, workflow documentation and operational playbooks. • Support payroll transformation initiatives by assessing readiness, identifying risks, documenting impacts and tracking key actions. • Gather and validate inputs from stakeholders across Payroll, HR Operations, Finance, Technology, Legal, Procurement and external providers. • Support business change activities, including vendor transitions, platform changes, service delivery improvements and M&A-related payroll workstreams. • Identify manual workarounds, process gaps and automation opportunities for further review by technology or transformation teams. • Coordinate governance activities such as readiness checkpoints, issue logs, decision records and action trackers. • Share documentation standards, process insights and best practices to support consistent ways of working.