Localiza&Co

Data Engineer

• Design, develop, and implement robust data pipelines, connecting data from various sources primarily using tools from the AWS ecosystem;
• Implement scalable and efficient data enrichment solutions using DBT to transform raw data into custom data models and actionable business insights;
• Manage integrations, transformation processes, and task automations using data connectors, SQL, Python, and REST APIs;
• Use SQL to query and manipulate data in relational and non-relational databases;
• Apply Spark to process large volumes of data in real time and in batch.

Data Engineering Specialist

Risk

• Work with a systems view across the three pillars of Technology Governance: ITSM, Security Governance and Financial Planning.
• Design and evolve processes and the area's operating model, balancing control, efficiency and speed.
• Build and monitor critical metrics and OKRs, translating data into clear, actionable executive reports.
• Use AI intensively to accelerate process reviews, automate reports and expand the team's analytical capacity.
• Exert cross-functional influence and follow-up with stakeholders, ensuring compliance with agreements and governance standards.

IT Governance Analyst III

Analyst

• Map customer journeys to identify key pain points and friction, leading the development of continuous improvement action plans for processes with medium impact/complexity on the customer experience.
• Diagnose recurring themes from Voice of Customer (VoC) feedback, supporting the redesign of journeys, processes and experiences.
• Evaluate internal processes that affect the customer experience at Contact Centers and physical branches, identifying improvement opportunities and engaging partner areas.
• Monitor NPS results and other CX metrics, analyzing feedback and highlighting trends, risks and opportunities.
• Interface with internal teams such as Technology, Marketing, Customer Segments, Customer Service and Operations, ensuring alignment in CX initiative execution and prioritization in the technology roadmap.
• Support the development of research scripts and conduct customer interviews (qualitative and quantitative), by phone, online or in person.
• Prepare management reports and presentations to track results and CX initiatives.
• Execute and monitor Customer Experience projects from diagnosis to implementation and initial measurement of results, under the guidance of area leadership.
• Ensure compliance with internal policies, legal requirements, confidentiality of information and adherence to the company’s Code of Ethics and Values.

Customer Experience Analyst (Mid-level)

Bilingual

• Lead the international customer service operation, ensuring quality, organization, and management of the area’s KPIs;
• Monitor team performance using metrics such as SLA, AHT, productivity, quality, and customer experience;
• Direct the team to ensure proper prioritization of requests and adherence to established workflows;
• Support the team in resolving critical cases, escalations, and service handling;
• Promote continuous team development through feedback, coaching, and guidance;
• Identify opportunities to improve processes, seeking efficiency, standardization, and continuous operational evolution;
• Ensure compliance with company policies, workflows, and service standards;
• Collaborate with internal areas to align and follow up on requests;
• Implement action plans and support initiatives aimed at continuous improvement;
• Contribute to the enhancement of the customer experience and the organization of area processes.

Bilingual Customer Service Leader

• Provide specialized support to international customers, with a primary focus on the Mexican market, using fluency in Spanish and English.
• Serve customers in Spanish, ensuring a personalized, high-quality experience.
• Provide detailed information about vehicle rentals, available services, timelines and company policies.
• Guide customers in the use of systems, apps and digital platforms.
• Resolve requests at first contact whenever possible.
• Investigate cases that require access to internal systems.
• Perform financial adjustments, reprocessings and account regularizations.
• Forward and follow up on requests with other company departments.
• Ensure customers clearly understand the next steps.

Bilingual Customer Service Assistant

Marketing

• Lead the structured monitoring of marketing operation metrics (daily, weekly, and monthly), ensuring critical, integrated, and actionable interpretation of performance.
• Identify result drivers, deviations, and opportunities through in-depth analyses, proposing recommendations with direct business impact.
• Build and evolve dashboards, reports, and executive materials based on datasets provided by the BI/BA team, focusing on interpretation and insight generation.
• Conduct integrated analyses across different business levers (product, media, CRM, pricing, channels), ensuring a holistic view of performance.
• Perform customer behavior analyses, segmentations, and persona development, identifying usage patterns, consumption profiles, journeys, and opportunities throughout the funnel.
• Generate insights from customer data (acquisition, retention/recurrence, churn, LTV, engagement), supporting product, communication, and commercial strategy decisions.
• Lead the area’s testing and experimentation agenda, supporting hypothesis definition, test design, and success criteria.
• Measure and analyze results of tests and initiatives, identifying impact, learnings, and recommendations for scaling or course correction.
• Serve as the analytical reference for the area, defining analysis standards, KPI interpretation, and executive storytelling.
• Influence squad and leadership prioritization based on evidence, contributing to short-, medium-, and long-term decisions.
• Act as an interface with the BI/BA team, ensuring alignment of analytical needs, data quality, and evolution of data sources, without responsibility for modeling, engineering, or pipeline construction.
• Support and challenge leadership with strategic analyses that drive product evolution, opportunity capture, and risk mitigation.

Product Marketing Specialist

• Develop and maintain maintenance performance indicators (KPIs)
• Analyze vehicle availability and identify improvement opportunities
• Monitor and analyze failure/breakdown data and propose corrective and preventive actions
• Track and control maintenance costs, seeking resource optimization
• Create dashboards and management reports to support decision-making
• Work on standardizing PCM (maintenance planning and control) processes and routines
• Identify trends and opportunities through analysis of historical data
• Support the development of preventive and predictive maintenance plans
• Ensure the quality and reliability of information in systems
• Interact with different departments to drive continuous improvement of maintenance processes

Senior Management and Monitoring Analyst

Data Scientist

• Propor, desenvolver e implementar modelos de Machine Learning robustos, escaláveis e performáticos de ponta a ponta;
• Implementar modelos de recomendação e personalização;
• Desenvolver sistemas de inteligência híbridos, combinando Machine Learning e IA generativa;
• Liderar tecnicamente projetos e iniciativas, garantindo a entrega de soluções de alta qualidade;
• Interagir com áreas de negócio e de produto, para definir soluções através de uma visão sistêmica e abrangente;
• Conduzir análises complexas, extraindo insights valiosos e gerando impacto positivo nos negócios;
• Desenvolver e implementar soluções de monitoramento e mensuração de resultados;
• Otimizar o tratamento de dados massivos, garantindo eficiência e precisão;
• Apoiar outros cientistas de dados, promovendo um ambiente de aprendizado contínuo;
• Colaborar com equipes multidisciplinares para integrar soluções de dados em diferentes áreas da empresa;
• Manter-se atualizado com as últimas tendências e tecnologias em ciência de dados e IA, aplicando-as para melhorar continuamente os processos e modelos existentes.

Cientista de Dados Sênior

Bookkeeper

• **LOCALIZA&CO**
• Constantly evolving has brought us here. Alongside diverse talents and skills, we connect in pursuit of our motivation: building the future of sustainable mobility. By valuing each individual's uniqueness, we drive our momentum to achieve extraordinary results, develop our operations, and create solutions for our customers.
• We are passionate about our story, our ideas, and our ability to make them happen. We know that together we go further.
• This is how we connect Localiza&Co with the future.

Junior Accounts Receivable Analyst

• Investigate and resolve issues related to fraud, theft and robbery.
• Perform diagnostics based on dispersed information, connecting data and contexts from different areas.
• Identify root causes and propose practical, sustainable and scalable solutions.
• Conduct quantitative and qualitative business analyses on large volumes of data, turning information into actionable insights to support strategic discussions, performance evaluations, initiative prioritization and value capture.
• Work cross-functionally, coordinating alignments and follow-ups with various departments across the company.
• Propose, implement and monitor improvements to processes and workflows, ensuring effectiveness and measurement of results.
• Manage cases end-to-end, monitoring outcomes and adjusting actions when necessary.

Senior Car Recovery Analyst

Threat Intelligence Specialist

• Monitor and analyze the segment's key indicators, ensuring consistency and data quality
• Build dashboards and management views to support results monitoring and decision-making
• Analyze performance metrics, identifying deviations, trends and opportunities
• Support the sales team and Localiza's executive management with structured analyses and executive presentations
• Translate data into clear, concise and actionable information for different internal audiences

Commercial Intelligence (Data) Analyst

• Build and evolve the customer journey at Zarp, focusing on understanding behavior and improving the experience throughout the journey
• Generate actionable insights from data and user behavior analysis, identifying opportunities to improve the product
• Run A/B tests and experiments, evaluating hypotheses and measuring impacts on the platform's experience and usage
• Independently structure analyses, connecting data to decision-making
• Work closely with the business, translating drivers' needs into improvement opportunities
• Partner with teams such as Marketing, Product, and Performance to implement initiatives

Customer Experience Analyst

• Develop strategies to reduce delinquency and improve the customer experience based on data analysis, process mapping and problem diagnostics.
• Create and maintain dashboards with operational and financial KPIs, generating insights and action plans to support decision-making and drive results.
• Map end-to-end processes, conducting analyses and diagnostics to identify improvement opportunities, with a focus on automations that optimize critical steps.
• Implement and monitor operational solutions, ensuring control, oversight and management of results.
• Lead strategic projects for the area, acting as the focal point and promoting alignment, negotiation and resolution of frictions with internal stakeholders.

Senior Fraud Prevention Strategy Analyst

• Develop strategies to reduce delinquency and improve the customer experience, based on data analysis, process mapping and problem diagnostics.
• Create and maintain dashboards with operational and financial KPIs, generating insights and action plans to support decision-making and drive results.
• Map end-to-end processes, performing analyses and diagnostics to identify improvement opportunities, with a focus on automations that optimize critical steps.
• Implement and monitor operational solutions, ensuring control, monitoring and management of results.
• Lead strategic projects for the area, acting as the focal point and facilitating alignment, negotiation and resolution of frictions with internal stakeholders.

Senior Credit Strategy Analyst, Data

Collections

• Develop strategies to reduce delinquency and improve the customer experience based on data analysis, process mapping and problem diagnostics.
• Create and maintain dashboards with operational and financial KPIs, generating insights and action plans to support decision-making and drive results.
• Map end-to-end processes, performing analyses and diagnostics to identify improvement opportunities, with a focus on automations that optimize critical steps.
• Implement and monitor operational solutions, ensuring control, monitoring and management of results.
• Lead strategic projects for the area, acting as a focal point and promoting alignment, negotiation and resolution of frictions with internal stakeholders.