Data and Automation Consultant for Youth Recruitment and Selection

The Job

As the person responsible for Data and Automation in Youth Recruitment and Selection, you will work closely with the team’s leadership to ensure that each stage of LALA’s selection process for new young people runs smoothly. You will support data organization, dashboards and analysis, and process automation and optimization, all under the supervision and mentorship of the team’s leadership.

This position is ideal for someone who wants to grow in data and operations automation with social impact, with the opportunity to learn through the use of technology tools, data intelligence, and continuous improvement methodologies.

Below are the main responsibilities of this position:

Design and develop data and automation solutions that increase efficiency, improve the reliability of information, and strengthen LALA’s decision-making capacity, with an initial focus on the outreach, selection, and admission processes for new LALíderes. This role will be responsible for turning operational needs into sustainable technology solutions, contributing to systems integration, the development of metrics, and continuous process improvement.

1. Data Structuring and Management

• Organize, integrate, and improve the databases used in Admissions processes, ensuring data quality, consistency, and traceability.
• Design data collection, processing, storage, and update workflows.
• Identify inconsistencies and implement data validation and quality control routines.
• Document data structures, business rules, integrations, and data processing procedures.
• Collaborate with Data & MEL and other teams to define data management standards and best practices, in compliance with personal data protection guidelines.

2. Data Analysis and Decision-Making Intelligence

• Develop and maintain metrics, reports, and dashboards to monitor the outreach, selection, and admission processes.
• Analyze the performance of the applicant funnel, identifying bottlenecks, conversion opportunities, and factors that influence results.
• Develop integrated analyses that support action plans and leadership decision-making.
• Support the development of analytical models related to selection, pricing, and scholarship awards, in collaboration with the teams responsible for those decisions.

3. Automation Development and Systems Integration

• Map manual and repetitive processes, identifying opportunities for automation and simplification.
• Develop, implement, and maintain automations for tasks such as database updates, communications, status tracking, and report generation.
• Build integrations between the platforms LALA uses through APIs, low-code/no-code tools, or scripts, based on needs and technical feasibility.
• Explore and implement artificial intelligence applications that improve productivity, process quality, and data analysis, while taking into account the risks of using personal data.
• Monitor the performance of the solutions developed, fix issues, and ensure documentation and operational continuity.

4. Platform Technical Support and Continuous Improvement

• Serve as the technical point of reference for the tools used by Admissions, supporting their configuration, development, and the resolution of more complex issues.
• Assess tool limitations and propose improvements or alternatives, taking into account cost, security, integration, and scalability.
• Support the evolution of LALA’s data and automation architecture in collaboration with other teams.
• Prioritize technical requests with the Admissions leadership, taking into account impact, effort, and execution capacity.

Position Details

• Hybrid work, with one day per week in the office in São Paulo
• 40 hours per week
• Independent contractor agreement (PJ)
• Two paid days off for each month worked
• Paid year-end break, which does not count against your days off
• Amil or SafetyWing (international) health insurance with 100% coverage
• Company-provided laptop (on loan)